471 papers
stat ml
0/02026
4- JulFinding a stationary point of a stochastic convex problemno summary yetstat-ml2607.06883Stanford0 citesJul 8, 2026
- JunClosing the Approximation Gap in Simulation-free Latent SDEsno summary yetstat-ml2606.16138Stanford0 citesJun 15, 2026
- JunToward Simultaneously Optimal Regret in U-Calibrationno summary yetstat-ml2606.18527Google Research0 citesJun 16, 2026
- FebMetabolic cost of information processing in Poisson variational autoencodersno summary yetstat-ml2602.13421Berkeley0 citesFeb 13, 2026
2024
3- OctTowards Understanding the Universality of Transformers for Next-Token Predictionno summary yetstat-ml2410.03011DeepMind0 citesOct 3, 2024
- MarNoise misleads rotation invariant algorithms on sparse targetsno summary yetstat-ml2403.02697Google Research0 citesMar 5, 2024
- FebHow do Transformers perform In-Context Autoregressive Learning?no summary yetstat-ml2402.05787DeepMind0 citesFeb 8, 2024
2023
22022
9- NovCuriosity in Hindsight: Intrinsic Exploration in Stochastic Environmentsno summary yetstat-ml2211.10515DeepMind3 citesNov 18, 2022
- NovBeyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlationsno summary yetstat-ml2211.15646DeepMind1 citesNov 28, 2022
- OctProbabilistic Model Incorporating Auxiliary Covariates to Control FDRno summary yetstat-ml2210.03178Snap0 citesOct 6, 2022
- OctDisentangling Mixtures of Unknown Causal Interventionsno summary yetstat-ml2210.03242Adobe0 citesOct 1, 2022
- SepOptimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guaranteesno summary yetstat-ml2209.14414DeepMind0 citesSep 28, 2022
- JulA State Transition Model for Mobile Notifications via Survival Analysisno summary yetstat-ml2207.03099LinkedIn11 citesJul 7, 2022
- JunLearning Backward Compatible Embeddingsno summary yetstat-ml2206.03040Amazon12 citesJun 7, 2022
- MayFrom Dirichlet to Rubin: Optimistic Exploration in RL without Bonusesno summary yetstat-ml2205.07704DeepMind3 citesMay 16, 2022
- JanScaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Timesno summary yetstat-ml2201.12909DeepMind1 citesJan 30, 2022
2021
53- DecOnline false discovery rate control for anomaly detection in time seriesno summary yetstat-ml2112.03196Amazon3 citesDec 6, 2021
- DecMultivariate Trend Filtering for Lattice Datano summary yetstat-ml2112.14758Google Research0 citesDec 29, 2021
- NovWhich priors matter? Benchmarking models for learning latent dynamicsno summary yetstat-ml2111.05458Google Research4 citesNov 9, 2021
- NovSyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Visionno summary yetstat-ml2111.05986Google Research1 citesNov 10, 2021
- NovCovariate Shift in High-Dimensional Random Feature Regressionno summary yetstat-ml2111.08234Google Research0 citesNov 16, 2021
- NovPrivate and polynomial time algorithms for learning Gaussians and beyondno summary yetstat-ml2111.11320Google Research4 citesNov 22, 2021
- NovA Free Lunch from the Noise: Provable and Practical Exploration for Representation Learningno summary yetstat-ml2111.11485Google Research2 citesNov 22, 2021
- OctPowerpropagation: A sparsity inducing weight reparameterisationno summary yetstat-ml2110.00296Google Research7 citesOct 1, 2021
- OctFoolish Crowds Support Benign Overfittingno summary yetstat-ml2110.02914Google Research1 citesOct 6, 2021
- OctGeneralized Shape Metrics on Neural Representationsno summary yetstat-ml2110.14739Google Research21 citesOct 27, 2021
- OctVariational Bayesian Optimistic Samplingno summary yetstat-ml2110.15688Google Research0 citesOct 29, 2021
- SepScalable Feature Selection for (Multitask) Gradient Boosted Treesno summary yetstat-ml2109.01965Amazon0 citesSep 5, 2021
- SepC-MinHash: Rigorously Reducing $K$ Permutations to Twono summary yetstat-ml2109.03337Baidu2 citesSep 7, 2021
- AugThe Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networksno summary yetstat-ml2108.11489Google Research0 citesAug 25, 2021
- JulSystematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learningno summary yetstat-ml2107.00848DeepMind4 citesJul 2, 2021
- JulDifferentiable Annealed Importance Sampling and the Perils of Gradient Noiseno summary yetstat-ml2107.10211Google Research1 citesJul 21, 2021
- JulStability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernelno summary yetstat-ml2107.12723Google Research1 citesJul 27, 2021
- JunPost-Contextual-Bandit Inferenceno summary yetstat-ml2106.00418Netflix13 citesJun 1, 2021
- JunBandit Phase Retrievalno summary yetstat-ml2106.01660Google Research0 citesJun 3, 2021
- JunRisk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learningno summary yetstat-ml2106.01723Netflix3 citesJun 3, 2021
- JunCausal Bandits with Unknown Graph Structureno summary yetstat-ml2106.02988Adobe0 citesJun 5, 2021
- JunEvaluating State-of-the-Art Classification Models Against Bayes Optimalityno summary yetstat-ml2106.03357Salesforce7 citesJun 7, 2021
- JunBayesIMP: Uncertainty Quantification for Causal Data Fusionno summary yetstat-ml2106.03477Microsoft Research0 citesJun 7, 2021
- JunLearning Domain Invariant Representations by Joint Wasserstein Distance Minimizationno summary yetstat-ml2106.04923Google Research7 citesJun 9, 2021
- JunOrder Matters: Probabilistic Modeling of Node Sequence for Graph Generationno summary yetstat-ml2106.06189DeepMind4 citesJun 11, 2021
- JunModel-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recallno summary yetstat-ml2106.06279DeepMind2 citesJun 11, 2021
- JunSelf-Supervised Learning with Kernel Dependence Maximizationno summary yetstat-ml2106.08320Google Research1 citesJun 15, 2021
- JunBreaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraintsno summary yetstat-ml2106.08597Google Research3 citesJun 16, 2021
- JunOn the benefits of maximum likelihood estimation for Regression and Forecastingno summary yetstat-ml2106.10370Google Research1 citesJun 18, 2021
- JunLow-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimationno summary yetstat-ml2106.10591Amazon8 citesJun 20, 2021
- JunParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitionsno summary yetstat-ml2106.12231Google Research0 citesJun 23, 2021
- JunLabel Disentanglement in Partition-based Extreme Multilabel Classificationno summary yetstat-ml2106.12751Amazon0 citesJun 24, 2021
- JunVariational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergenceno summary yetstat-ml2106.15980Google Research10 citesJun 30, 2021
- MayScaffolding Simulations with Deep Learning for High-dimensional Deconvolutionno summary yetstat-ml2105.04448Google Research20 citesMay 10, 2021
- MayDeep Neural Networks as Point Estimates for Deep Gaussian Processesno summary yetstat-ml2105.04504Amazon1 citesMay 10, 2021
- MayDiscretization Drift in Two-Player Gamesno summary yetstat-ml2105.13922DeepMind0 citesMay 28, 2021
- MayInformation Directed Sampling for Sparse Linear Banditsno summary yetstat-ml2105.14267Google Research3 citesMay 29, 2021
- AprNeRF-VAE: A Geometry Aware 3D Scene Generative Modelno summary yetstat-ml2104.00587DeepMind26 citesApr 1, 2021
- AprRevisiting Rashomon: A Comment on "The Two Cultures"no summary yetstat-ml2104.02150Google Research0 citesApr 5, 2021
- AprScalable Marginal Likelihood Estimation for Model Selection in Deep Learningno summary yetstat-ml2104.04975DeepMind24 citesApr 11, 2021
- MarUCB Momentum Q-learning: Correcting the bias without forgettingno summary yetstat-ml2103.01312DeepMind10 citesMar 1, 2021
- MarAsymptotics of Ridge Regression in Convolutional Modelsno summary yetstat-ml2103.04557Adobe0 citesMar 8, 2021
- MarLow-Rank Sinkhorn Factorizationno summary yetstat-ml2103.04737Google Research0 citesMar 8, 2021
- MarSLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regressionno summary yetstat-ml2103.12725Google Research3 citesMar 23, 2021
- MarNearly Horizon-Free Offline Reinforcement Learningno summary yetstat-ml2103.14077Google Research6 citesMar 25, 2021
- MarPervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarksno summary yetstat-ml2103.14749Amazon103 citesMar 26, 2021
- FebBootstrapping Fitted Q-Evaluation for Off-Policy Inferenceno summary yetstat-ml2102.03607DeepMind10 citesFeb 6, 2021
- FebWhen does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?no summary yetstat-ml2102.04998Google Research5 citesFeb 9, 2021
- FebAnnealed Flow Transport Monte Carlono summary yetstat-ml2102.07501DeepMind4 citesFeb 15, 2021
- FebTop-$k$ eXtreme Contextual Bandits with Arm Hierarchyno summary yetstat-ml2102.07800Amazon4 citesFeb 15, 2021
- FebQuantization Algorithms for Random Fourier Featuresno summary yetstat-ml2102.13079Baidu1 citesFeb 25, 2021
- JanReducing bias and increasing utility by federated generative modeling of medical images using a centralized adversaryno summary yetstat-ml2101.07235Microsoft Research4 citesJan 18, 2021
- JanGeneralized Doubly Reparameterized Gradient Estimatorsno summary yetstat-ml2101.11046DeepMind1 citesJan 26, 2021
2020
78- DecMutual Information Constraints for Monte-Carlo Objectivesno summary yetstat-ml2012.00708Google Research0 citesDec 1, 2020
- DecIntegrable Nonparametric Flowsno summary yetstat-ml2012.02035Google Research1 citesDec 3, 2020
- DecWhen does gradient descent with logistic loss find interpolating two-layer networks?no summary yetstat-ml2012.02409Google Research4 citesDec 4, 2020
- DecOn Shapley Credit Allocation for Interpretabilityno summary yetstat-ml2012.05506Adobe0 citesDec 10, 2020
- DecA case for new neural network smoothness constraintsno summary yetstat-ml2012.07969Google Research16 citesDec 14, 2020
- DecLearning Energy-Based Model with Variational Auto-Encoder as Amortized Samplerno summary yetstat-ml2012.14936Baidu1 citesDec 29, 2020
- DecGraph Networks with Spectral Message Passingno summary yetstat-ml2101.00079Google Research5 citesDec 31, 2020
- NovIdentification of Matrix Joint Block Diagonalizationno summary yetstat-ml2011.01111Baidu1 citesNov 2, 2020
- NovQuadratic Metric Elicitation for Fairness and Beyondno summary yetstat-ml2011.01516Google Research0 citesNov 3, 2020
- NovUnderstanding Double Descent Requires a Fine-Grained Bias-Variance Decompositionno summary yetstat-ml2011.03321Google Research22 citesNov 4, 2020
- NovHigh-Dimensional Sparse Linear Banditsno summary yetstat-ml2011.04020DeepMind4 citesNov 8, 2020
- NovAsymptotically Optimal Information-Directed Samplingno summary yetstat-ml2011.05944Google Research10 citesNov 11, 2020
- NovVIB is Half Bayesno summary yetstat-ml2011.08711Google Research0 citesNov 17, 2020
- OctImproving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wassersteinno summary yetstat-ml2010.01787DeepMind6 citesOct 5, 2020
- OctExploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limitno summary yetstat-ml2010.07355Google Research3 citesOct 14, 2020
- OctFailures of model-dependent generalization bounds for least-norm interpolationno summary yetstat-ml2010.08479Google Research15 citesOct 16, 2020
- OctBYOL works even without batch statisticsno summary yetstat-ml2010.10241DeepMind20 citesOct 20, 2020
- OctVarGrad: A Low-Variance Gradient Estimator for Variational Inferenceno summary yetstat-ml2010.10436Google Research7 citesOct 20, 2020
- OctTraining Generative Adversarial Networks by Solving Ordinary Differential Equationsno summary yetstat-ml2010.15040Google Research12 citesOct 28, 2020
- OctA Distribution-Dependent Analysis of Meta-Learningno summary yetstat-ml2011.00344DeepMind1 citesOct 31, 2020
- SepRobust Outlier Arm Identificationno summary yetstat-ml2009.09988Amazon0 citesSep 21, 2020
- SepLearning from eXtreme Bandit Feedbackno summary yetstat-ml2009.12947Amazon3 citesSep 27, 2020
- AugFedSKETCH: Communication-Efficient and Private Federated Learning via Sketchingno summary yetstat-ml2008.04975Baidu11 citesAug 11, 2020
- AugThe Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalizationno summary yetstat-ml2008.06786Google Research35 citesAug 15, 2020
- JulOn Linear Identifiability of Learned Representationsno summary yetstat-ml2007.00810Google Research16 citesJul 1, 2020
- JulGamification of Pure Exploration for Linear Banditsno summary yetstat-ml2007.00953DeepMind23 citesJul 2, 2020
- JulProvably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approachno summary yetstat-ml2007.01290Google Research4 citesJul 2, 2020
- JulCross-validation Confidence Intervals for Test Errorno summary yetstat-ml2007.12671Microsoft Research3 citesJul 24, 2020
- JulTempered Sigmoid Activations for Deep Learning with Differential Privacyno summary yetstat-ml2007.14191Google Research26 citesJul 28, 2020
- JulCold Posteriors and Aleatoric Uncertaintyno summary yetstat-ml2008.00029Google Research11 citesJul 31, 2020
- JunOn the Equivalence between Online and Private Learnability beyond Binary Classificationno summary yetstat-ml2006.01980Microsoft Research3 citesJun 2, 2020
- JunNon-Stationary Delayed Bandits with Intermediate Observationsno summary yetstat-ml2006.02119Google Research2 citesJun 3, 2020
- JunAn Efficient Framework for Clustered Federated Learningno summary yetstat-ml2006.04088Google Research120 citesJun 7, 2020
- JunThe Lipschitz Constant of Self-Attentionno summary yetstat-ml2006.04710DeepMind29 citesJun 8, 2020
- JunFair Bayesian Optimizationno summary yetstat-ml2006.05109Amazon3 citesJun 9, 2020
- JunAdversarial Infidelity Learning for Model Interpretationno summary yetstat-ml2006.05379Tencent16 citesJun 9, 2020
- JunPointer Graph Networksno summary yetstat-ml2006.06380Google Research4 citesJun 11, 2020
- JunStatistical Efficiency of Thompson Sampling for Combinatorial Semi-Banditsno summary yetstat-ml2006.06613DeepMind7 citesJun 11, 2020
- JunLinear Time Sinkhorn Divergences using Positive Featuresno summary yetstat-ml2006.07057Google Research8 citesJun 12, 2020
- JunOn the training dynamics of deep networks with $L_2$ regularizationno summary yetstat-ml2006.08643Google Research25 citesJun 15, 2020
- JunUniversally Quantized Neural Compressionno summary yetstat-ml2006.09952Google Research45 citesJun 17, 2020
- JunWhat Do Neural Networks Learn When Trained With Random Labels?no summary yetstat-ml2006.10455Google Research29 citesJun 18, 2020
- JunStochastic bandits with arm-dependent delaysno summary yetstat-ml2006.10459DeepMind12 citesJun 18, 2020
- JunInfinite attention: NNGP and NTK for deep attention networksno summary yetstat-ml2006.10540Google Research29 citesJun 18, 2020
- JunPredictive Complexity Priorsno summary yetstat-ml2006.10801Amazon0 citesJun 18, 2020
- JunFair Performance Metric Elicitationno summary yetstat-ml2006.12732Google Research3 citesJun 23, 2020
- JunDisentangling by Subspace Diffusionno summary yetstat-ml2006.12982Google Research5 citesJun 23, 2020
- JunPAC-Bayes Analysis Beyond the Usual Boundsno summary yetstat-ml2006.13057Google Research5 citesJun 23, 2020
- JunPicasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Pythonno summary yetstat-ml2006.15261Tencent22 citesJun 27, 2020
- AprRandomized Kernel Multi-view Discriminant Analysisno summary yetstat-ml2004.01143Baidu2 citesApr 2, 2020
- AprIVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservationno summary yetstat-ml2004.01299Baidu0 citesApr 2, 2020
- AprDistributed Primal-Dual Optimization for Online Multi-Task Learningno summary yetstat-ml2004.01305Baidu0 citesApr 2, 2020
- AprThe Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budgetno summary yetstat-ml2004.11935Google Research7 citesApr 24, 2020
- AprFinite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regimeno summary yetstat-ml2004.12019Google Research22 citesApr 25, 2020
- MarApproximate Cross-validation: Guarantees for Model Assessment and Selectionno summary yetstat-ml2003.00617Microsoft Research0 citesMar 2, 2020
- MarTaskNorm: Rethinking Batch Normalization for Meta-Learningno summary yetstat-ml2003.03284Google Research31 citesMar 6, 2020
- MarAmortized variance reduction for doubly stochastic objectivesno summary yetstat-ml2003.04125Amazon0 citesMar 9, 2020
- MarAn Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problemno summary yetstat-ml2003.10897Baidu2 citesMar 24, 2020
- FebHow Good is the Bayes Posterior in Deep Neural Networks Really?no summary yetstat-ml2002.02405Google Research33 citesFeb 6, 2020
- FebNormalizing Flows on Tori and Spheresno summary yetstat-ml2002.02428DeepMind59 citesFeb 6, 2020
- FebOn Contrastive Learning for Likelihood-free Inferenceno summary yetstat-ml2002.03712DeepMind21 citesFeb 10, 2020
- FebRegularized Optimal Transport is Ground Cost Adversarialno summary yetstat-ml2002.03967Google Research2 citesFeb 10, 2020
- FebFractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noiseno summary yetstat-ml2002.05685DeepMind13 citesFeb 13, 2020
- FebTop-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samplesno summary yetstat-ml2002.06224Google Research16 citesFeb 14, 2020
- FebDistributional Sliced-Wasserstein and Applications to Generative Modelingno summary yetstat-ml2002.07367DeepMind9 citesFeb 18, 2020
- FebDistributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availabilityno summary yetstat-ml2002.07399Alibaba10 citesFeb 18, 2020
- FebRobust Pruning at Initializationno summary yetstat-ml2002.08797DeepMind7 citesFeb 19, 2020
- FebFast Differentiable Sorting and Rankingno summary yetstat-ml2002.08871Google Research12 citesFeb 20, 2020
- FebGenDICE: Generalized Offline Estimation of Stationary Valuesno summary yetstat-ml2002.09072Google Research50 citesFeb 21, 2020
- FebNear-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsificationno summary yetstat-ml2002.09954DeepMind3 citesFeb 23, 2020
- FebInformation Directed Sampling for Linear Partial Monitoringno summary yetstat-ml2002.11182Google Research7 citesFeb 25, 2020
- FebAutomated Augmented Conjugate Inference for Non-conjugate Gaussian Process Modelsno summary yetstat-ml2002.11451Google Research1 citesFeb 26, 2020
- FebICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICAno summary yetstat-ml2002.11537Google Research14 citesFeb 26, 2020
- FebComposing Normalizing Flows for Inverse Problemsno summary yetstat-ml2002.11743Google Research1 citesFeb 26, 2020
- FebA Self-Tuning Actor-Critic Algorithmno summary yetstat-ml2002.12928Google Research32 citesFeb 28, 2020
- JanCensored Quantile Regression Forestno summary yetstat-ml2001.03458Amazon8 citesJan 8, 2020
- JanBayesian Semi-supervised Multi-category Classification under Nonparanormalityno summary yetstat-ml2001.03798Google Research0 citesJan 11, 2020
- JanOn Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimationno summary yetstat-ml2001.08049Google Research18 citesJan 22, 2020
2019
89- DecFlow Contrastive Estimation of Energy-Based Modelsno summary yetstat-ml1912.00589Google Research4 citesDec 2, 2019
- DecMetaFun: Meta-Learning with Iterative Functional Updatesno summary yetstat-ml1912.02738DeepMind10 citesDec 5, 2019
- DecDeep Ensembles: A Loss Landscape Perspectiveno summary yetstat-ml1912.02757Google Research351 citesDec 5, 2019
- DecNormalizing Flows for Probabilistic Modeling and Inferenceno summary yetstat-ml1912.02762Google Research345 citesDec 5, 2019
- DecAugMix: A Simple Data Processing Method to Improve Robustness and Uncertaintyno summary yetstat-ml1912.02781Google Research566 citesDec 5, 2019
- DecSolving Bernoulli Rank-One Bandits with Unimodal Thompson Samplingno summary yetstat-ml1912.03074DeepMind9 citesDec 6, 2019
- DecNo-Regret Exploration in Goal-Oriented Reinforcement Learningno summary yetstat-ml1912.03517DeepMind8 citesDec 7, 2019
- DecMeasuring the Reliability of Reinforcement Learning Algorithmsno summary yetstat-ml1912.05663Google Research19 citesDec 10, 2019
- DecTemporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecastingno summary yetstat-ml1912.09363Google Research153 citesDec 19, 2019
- DecAdaptive Correlated Monte Carlo for Contextual Categorical Sequence Generationno summary yetstat-ml1912.13151Microsoft Research3 citesDec 31, 2019
- NovGradient-based Adaptive Markov Chain Monte Carlono summary yetstat-ml1911.01373Google Research10 citesNov 4, 2019
- NovGround Metric Learning on Graphsno summary yetstat-ml1911.03117Google Research12 citesNov 8, 2019
- NovLearning with Good Feature Representations in Bandits and in RL with a Generative Modelno summary yetstat-ml1911.07676Google Research21 citesNov 18, 2019
- OctPredicting with High Correlation Featuresno summary yetstat-ml1910.00164Salesforce1 citesOct 1, 2019
- OctMulti-subject MEG/EEG source imaging with sparse multi-task regressionno summary yetstat-ml1910.01914Google Research1 citesOct 3, 2019
- OctMeta-Learning Deep Energy-Based Memory Modelsno summary yetstat-ml1910.02720Google Research22 citesOct 7, 2019
- OctSpatio-Temporal Alignments: Optimal transport through space and timeno summary yetstat-ml1910.03860Google Research7 citesOct 9, 2019
- OctPrivate Protocols for U-Statistics in the Local Model and Beyondno summary yetstat-ml1910.03861Google Research1 citesOct 9, 2019
- OctHigh Mutual Information in Representation Learning with Symmetric Variational Inferenceno summary yetstat-ml1910.04153Google Research0 citesOct 4, 2019
- OctBayesian Optimization Allowing for Common Random Numbersno summary yetstat-ml1910.09259Amazon7 citesOct 21, 2019
- OctVariational Integrator Networks for Physically Structured Embeddingsno summary yetstat-ml1910.09349Microsoft Research14 citesOct 21, 2019
- OctNeural Execution of Graph Algorithmsno summary yetstat-ml1910.10593Google Research3 citesOct 23, 2019
- OctSparse Orthogonal Variational Inference for Gaussian Processesno summary yetstat-ml1910.10596Google Research6 citesOct 23, 2019
- OctMachine Learning for Scent: Learning Generalizable Perceptual Representations of Small Moleculesno summary yetstat-ml1910.10685Google Research96 citesOct 23, 2019
- OctStructured Prediction with Projection Oraclesno summary yetstat-ml1910.11369Google Research9 citesOct 24, 2019
- OctBetter Exploration with Optimistic Actor-Criticno summary yetstat-ml1910.12807Microsoft Research35 citesOct 28, 2019
- OctPoisson-Randomized Gamma Dynamical Systemsno summary yetstat-ml1910.12991Microsoft Research13 citesOct 28, 2019
- OctDivide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Supportno summary yetstat-ml1910.13324DeepMind5 citesOct 29, 2019
- OctSmall-GAN: Speeding Up GAN Training Using Core-setsno summary yetstat-ml1910.13540Google Research33 citesOct 29, 2019
- OctInvestigating Under and Overfitting in Wasserstein Generative Adversarial Networksno summary yetstat-ml1910.14137Google Research10 citesOct 30, 2019
- OctConfident Learning: Estimating Uncertainty in Dataset Labelsno summary yetstat-ml1911.00068Google Research61 citesOct 31, 2019
- SepExplicit-Duration Markov Switching Modelsno summary yetstat-ml1909.05800Microsoft Research14 citesSep 12, 2019
- SepUsing Statistics to Automate Stochastic Optimizationno summary yetstat-ml1909.09785Microsoft Research9 citesSep 21, 2019
- SepStochastic Prototype Embeddingsno summary yetstat-ml1909.11702Google Research10 citesSep 25, 2019
- SepLearning search spaces for Bayesian optimization: Another view of hyperparameter transfer learningno summary yetstat-ml1909.12552Amazon36 citesSep 27, 2019
- SepEquivariant Hamiltonian Flowsno summary yetstat-ml1909.13739Google Research41 citesSep 30, 2019
- AugLearning to Advertise for Organic Traffic Maximization in E-Commerce Product Feedsno summary yetstat-ml1908.06698Alibaba0 citesAug 19, 2019
- JulAdversarial Robustness through Local Linearizationno summary yetstat-ml1907.02610Google Research92 citesJul 4, 2019
- JulVariational Autoencoders and Nonlinear ICA: A Unifying Frameworkno summary yetstat-ml1907.04809Google Research130 citesJul 10, 2019
- JulA Causal Bayesian Networks Viewpoint on Fairnessno summary yetstat-ml1907.06430DeepMind20 citesJul 15, 2019
- JulA Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Datano summary yetstat-ml1907.07148Baidu24 citesJul 16, 2019
- JunTowards Task and Architecture-Independent Generalization Gap Predictorsno summary yetstat-ml1906.01550Google Research9 citesJun 4, 2019
- JunQsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computationsno summary yetstat-ml1906.02367Amazon20 citesJun 6, 2019
- JunCan You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shiftno summary yetstat-ml1906.02530Google Research368 citesJun 6, 2019
- JunPlaying the lottery with rewards and multiple languages: lottery tickets in RL and NLPno summary yetstat-ml1906.02768Baidu28 citesJun 6, 2019
- JunLikelihood Ratios for Out-of-Distribution Detectionno summary yetstat-ml1906.02845Google Research8 citesJun 7, 2019
- JunDetecting Out-of-Distribution Inputs to Deep Generative Models Using Typicalityno summary yetstat-ml1906.02994Google Research58 citesJun 7, 2019
- JunAutomatic Reparameterisation of Probabilistic Programsno summary yetstat-ml1906.03028Google Research4 citesJun 7, 2019
- JunTask Agnostic Continual Learning via Meta Learningno summary yetstat-ml1906.05201Google Research57 citesJun 12, 2019
- JunBootstrapping Upper Confidence Boundno summary yetstat-ml1906.05247Google Research7 citesJun 12, 2019
- JunInterpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracyno summary yetstat-ml1906.06784Google Research27 citesJun 16, 2019
- JunStacked Capsule Autoencodersno summary yetstat-ml1906.06818Google Research36 citesJun 17, 2019
- JunFast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processesno summary yetstat-ml1906.07697Google Research27 citesJun 18, 2019
- JunStochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyondno summary yetstat-ml1906.07868Microsoft Research22 citesJun 19, 2019
- JunBias Correction of Learned Generative Models using Likelihood-Free Importance Weightingno summary yetstat-ml1906.09531Microsoft Research35 citesJun 23, 2019
- JunMonte Carlo Gradient Estimation in Machine Learningno summary yetstat-ml1906.10652Google Research85 citesJun 25, 2019
- JunBenign Overfitting in Linear Regressionno summary yetstat-ml1906.11300Google Research49 citesJun 26, 2019
- JunEmpirical Study of the Benefits of Overparameterization in Learning Latent Variable Modelsno summary yetstat-ml1907.00030Google Research13 citesJun 28, 2019
- MayA Contrastive Divergence for Combining Variational Inference and MCMCno summary yetstat-ml1905.04062Google Research24 citesMay 10, 2019
- MayLexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Modelsno summary yetstat-ml1905.07325Google Research25 citesMay 17, 2019
- MaySurvival Function Matching for Calibrated Time-to-Event Predictionsno summary yetstat-ml1905.08838Microsoft Research15 citesMay 21, 2019
- MayRegularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transportno summary yetstat-ml1905.10812Google Research3 citesMay 26, 2019
- MayAutomatic Discovery of Privacy-Utility Pareto Frontsno summary yetstat-ml1905.10862DeepMind3 citesMay 26, 2019
- MayFast Convergence of Natural Gradient Descent for Overparameterized Neural Networksno summary yetstat-ml1905.10961Google Research30 citesMay 27, 2019
- MayEfficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systemsno summary yetstat-ml1905.12090Microsoft Research10 citesMay 28, 2019
- MarAn Optimistic Acceleration of AMSGrad for Nonconvex Optimizationno summary yetstat-ml1903.01435Baidu3 citesMar 4, 2019
- MarOrthogonal Estimation of Wasserstein Distancesno summary yetstat-ml1903.03784Google Research16 citesMar 9, 2019
- MarImprove Diverse Text Generation by Self Labeling Conditional Variational Auto Encoderno summary yetstat-ml1903.10842Alibaba0 citesMar 26, 2019
- MarMeta-Learning surrogate models for sequential decision makingno summary yetstat-ml1903.11907Google Research10 citesMar 28, 2019
- MarData Amplification: A Unified and Competitive Approach to Property Estimationno summary yetstat-ml1904.00070Google Research5 citesMar 29, 2019
- FebAnalyzing and Improving Representations with the Soft Nearest Neighbor Lossno summary yetstat-ml1902.01889Google Research32 citesFeb 5, 2019
- FebAre All Layers Created Equal?no summary yetstat-ml1902.01996Google Research112 citesFeb 6, 2019
- FebA Scale Invariant Flatness Measure for Deep Network Minimano summary yetstat-ml1902.02434Google Research20 citesFeb 6, 2019
- FebTowards Automatic Concept-based Explanationsno summary yetstat-ml1902.03129Google Research86 citesFeb 7, 2019
- FebIdentity Crisis: Memorization and Generalization under Extreme Overparameterizationno summary yetstat-ml1902.04698Google Research23 citesFeb 13, 2019
- FebBayesian Image Classification with Deep Convolutional Gaussian Processesno summary yetstat-ml1902.05888Amazon4 citesFeb 15, 2019
- FebHyperbolic Discounting and Learning over Multiple Horizonsno summary yetstat-ml1902.06865Google Research55 citesFeb 19, 2019
- FebScalable Thompson Sampling via Optimal Transportno summary yetstat-ml1902.07239Adobe8 citesFeb 19, 2019
- FebStatistics and Samples in Distributional Reinforcement Learningno summary yetstat-ml1902.08102Google Research24 citesFeb 21, 2019
- FebCombining Online Learning Guaranteesno summary yetstat-ml1902.09003Google Research3 citesFeb 24, 2019
- FebAntisymmetricRNN: A Dynamical System View on Recurrent Neural Networksno summary yetstat-ml1902.09689Google Research41 citesFeb 26, 2019
- FebTraining Variational Autoencoders with Buffered Stochastic Variational Inferenceno summary yetstat-ml1902.10294Google Research1 citesFeb 27, 2019
- FebDegenerate Feedback Loops in Recommender Systemsno summary yetstat-ml1902.10730DeepMind134 citesFeb 27, 2019
- JanDPPNet: Approximating Determinantal Point Processes with Deep Networksno summary yetstat-ml1901.02051Google Research2 citesJan 7, 2019
- JanOptimistic optimization of a Brownianno summary yetstat-ml1901.04884DeepMind1 citesJan 15, 2019
- JanContinuous Hierarchical Representations with Poincaré Variational Auto-Encodersno summary yetstat-ml1901.06033Microsoft Research49 citesJan 17, 2019
- JanGeneral Fair Empirical Risk Minimizationno summary yetstat-ml1901.10080Amazon9 citesJan 29, 2019
- JanInfoBot: Transfer and Exploration via the Information Bottleneckno summary yetstat-ml1901.10902Google Research35 citesJan 30, 2019
- JanFunctional Regularisation for Continual Learning with Gaussian Processesno summary yetstat-ml1901.11356Google Research32 citesJan 31, 2019
2018
81- DecA Spectral Regularizer for Unsupervised Disentanglementno summary yetstat-ml1812.01161OpenAI17 citesDec 4, 2018
- DecStagewise Training Accelerates Convergence of Testing Error Over SGDno summary yetstat-ml1812.03934Alibaba13 citesDec 10, 2018
- NovSimple, Distributed, and Accelerated Probabilistic Programmingno summary yetstat-ml1811.02091Google Research30 citesNov 5, 2018
- NovNonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Datano summary yetstat-ml1811.02459Google Research9 citesNov 6, 2018
- NovStochastic Deep Networksno summary yetstat-ml1811.07429Google Research1 citesNov 19, 2018
- NovRotting bandits are not harder than stochastic onesno summary yetstat-ml1811.11043DeepMind3 citesNov 27, 2018
- OctWAIC, but Why? Generative Ensembles for Robust Anomaly Detectionno summary yetstat-ml1810.01392Google Research158 citesOct 2, 2018
- OctMcTorch, a manifold optimization library for deep learningno summary yetstat-ml1810.01811Microsoft Research24 citesOct 3, 2018
- OctOnline Learning to Rank with Featuresno summary yetstat-ml1810.02567Google Research7 citesOct 5, 2018
- OctBayesian Deep Convolutional Networks with Many Channels are Gaussian Processesno summary yetstat-ml1810.05148Microsoft Research170 citesOct 11, 2018
- OctDiscriminator Rejection Samplingno summary yetstat-ml1810.06758Google Research27 citesOct 16, 2018
- OctDo Deep Generative Models Know What They Don't Know?no summary yetstat-ml1810.09136Google Research58 citesOct 22, 2018
- OctResampled Priors for Variational Autoencodersno summary yetstat-ml1810.11428DeepMind11 citesOct 26, 2018
- OctFailing Loudly: An Empirical Study of Methods for Detecting Dataset Shiftno summary yetstat-ml1810.11953Amazon59 citesOct 29, 2018
- OctGlobal Non-convex Optimization with Discretized Diffusionsno summary yetstat-ml1810.12361Microsoft Research8 citesOct 29, 2018
- SepTowards Query Efficient Black-box Attacks: An Input-free Perspectiveno summary yetstat-ml1809.02918Tencent3 citesSep 9, 2018
- SepA convex formulation for high-dimensional sparse sliced inverse regressionno summary yetstat-ml1809.06024Tencent1 citesSep 17, 2018
- SepDeep Graph Infomaxno summary yetstat-ml1809.10341Microsoft Research156 citesSep 27, 2018
- SepPredicting the Generalization Gap in Deep Networks with Margin Distributionsno summary yetstat-ml1810.00113Google Research86 citesSep 28, 2018
- AugUnbiased Implicit Variational Inferenceno summary yetstat-ml1808.02078DeepMind25 citesAug 6, 2018
- AugLearning deep representations by mutual information estimation and maximizationno summary yetstat-ml1808.06670Microsoft Research514 citesAug 20, 2018
- AugGenie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplaceno summary yetstat-ml1808.07251Microsoft Research1 citesAug 22, 2018
- JulLinear Bandits with Stochastic Delayed Feedbackno summary yetstat-ml1807.02089DeepMind2 citesJul 5, 2018
- JulApproximate Leave-One-Out for Fast Parameter Tuning in High Dimensionsno summary yetstat-ml1807.02694Google Research3 citesJul 7, 2018
- JulA Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacksno summary yetstat-ml1807.03888Google Research42 citesJul 10, 2018
- JulEfficient Training on Very Large Corpora via Gramian Estimationno summary yetstat-ml1807.07187Google Research7 citesJul 18, 2018
- JulEscaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Boundsno summary yetstat-ml1807.07789Google Research18 citesJul 20, 2018
- JunConservative Exploration using Interleavingno summary yetstat-ml1806.00892Adobe2 citesJun 3, 2018
- JunImportance Weighted Generative Networksno summary yetstat-ml1806.02512Amazon6 citesJun 7, 2018
- JunRandomized Prior Functions for Deep Reinforcement Learningno summary yetstat-ml1806.03335DeepMind106 citesJun 8, 2018
- JunMeta-Learning for Stochastic Gradient MCMCno summary yetstat-ml1806.04522Microsoft Research11 citesJun 12, 2018
- JunUsing Inherent Structures to design Lean 2-layer RBMsno summary yetstat-ml1806.04577Microsoft Research0 citesJun 12, 2018
- JunDynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networksno summary yetstat-ml1806.05393Google Research37 citesJun 14, 2018
- JunScrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopesno summary yetstat-ml1806.05502Google Research0 citesJun 14, 2018
- JunInsights on representational similarity in neural networks with canonical correlationno summary yetstat-ml1806.05759Google Research58 citesJun 14, 2018
- JunPAC-Bayes bounds for stable algorithms with instance-dependent priorsno summary yetstat-ml1806.06827DeepMind7 citesJun 18, 2018
- JunRandom Feature Stein Discrepanciesno summary yetstat-ml1806.07788Microsoft Research26 citesJun 20, 2018
- JunPCA of high dimensional random walks with comparison to neural network trainingno summary yetstat-ml1806.08805Google Research11 citesJun 22, 2018
- JunLearning a Compressed Sensing Measurement Matrix via Gradient Unrollingno summary yetstat-ml1806.10175Google Research3 citesJun 26, 2018
- MayFast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditionsno summary yetstat-ml1805.04577Alibaba5 citesMay 11, 2018
- MayGeneralizing Point Embeddings using the Wasserstein Space of Elliptical Distributionsno summary yetstat-ml1805.07594Google Research22 citesMay 19, 2018
- MaySelf-Attention Generative Adversarial Networksno summary yetstat-ml1805.08318Google Research442 citesMay 21, 2018
- MaySafe Element Screening for Submodular Function Minimizationno summary yetstat-ml1805.08527Tencent0 citesMay 22, 2018
- MayAmortized Inference Regularizationno summary yetstat-ml1805.08913Google Research49 citesMay 23, 2018
- MayBeen There, Done That: Meta-Learning with Episodic Recallno summary yetstat-ml1805.09692Google Research32 citesMay 24, 2018
- MayLearning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithmsno summary yetstat-ml1805.09717Google Research3 citesMay 24, 2018
- MayUnsupervised Learning with Stein's Unbiased Risk Estimatorno summary yetstat-ml1805.10531Google Research60 citesMay 26, 2018
- MaycpSGD: Communication-efficient and differentially-private distributed SGDno summary yetstat-ml1805.10559Google Research184 citesMay 27, 2018
- MayMetric-Optimized Example Weightsno summary yetstat-ml1805.10582Google Research6 citesMay 27, 2018
- MayPerceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasksno summary yetstat-ml1805.10727Alibaba25 citesMay 28, 2018
- MayA Stochastic Decoder for Neural Machine Translationno summary yetstat-ml1805.10844Amazon3 citesMay 28, 2018
- MayHuman-in-the-Loop Interpretability Priorno summary yetstat-ml1805.11571Google Research45 citesMay 29, 2018
- MayTo Trust Or Not To Trust A Classifierno summary yetstat-ml1805.11783Google Research131 citesMay 30, 2018
- AprThe Kanerva Machine: A Generative Distributed Memoryno summary yetstat-ml1804.01756Google Research13 citesApr 5, 2018
- AprEntire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rateno summary yetstat-ml1804.07931Alibaba55 citesApr 21, 2018
- AprGenerative Temporal Models with Spatial Memory for Partially Observed Environmentsno summary yetstat-ml1804.09401Google Research3 citesApr 25, 2018
- MarBeyond Greedy Ranking: Slate Optimization via List-CVAEno summary yetstat-ml1803.01682Google Research16 citesMar 5, 2018
- MarSemiparametric Contextual Banditsno summary yetstat-ml1803.04204Microsoft Research13 citesMar 12, 2018
- MarLarge Margin Deep Networks for Classificationno summary yetstat-ml1803.05598Google Research16 citesMar 15, 2018
- MarOn the importance of single directions for generalizationno summary yetstat-ml1803.06959Google Research66 citesMar 19, 2018
- MarComparing Dynamics: Deep Neural Networks versus Glassy Systemsno summary yetstat-ml1803.06969Meta / FAIR44 citesMar 19, 2018
- MarA Proximal Block Coordinate Descent Algorithm for Deep Neural Network Trainingno summary yetstat-ml1803.09082Tencent14 citesMar 24, 2018
- FebNearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Banditno summary yetstat-ml1802.03692Adobe48 citesFeb 11, 2018
- FebTighter Variational Bounds are Not Necessarily Betterno summary yetstat-ml1802.04537Google Research31 citesFeb 13, 2018
- FebGILBO: One Metric to Measure Them Allno summary yetstat-ml1802.04874Google Research0 citesFeb 13, 2018
- FebVertex nomination: The canonical sampling and the extended spectral nomination schemesno summary yetstat-ml1802.04960Amazon3 citesFeb 14, 2018
- FebDistributed Stochastic Optimization via Adaptive SGDno summary yetstat-ml1802.05811Google Research14 citesFeb 16, 2018
- FebDisentangling by Factorisingno summary yetstat-ml1802.05983Google Research427 citesFeb 16, 2018
- FebUnsupervised vehicle recognition using incremental reseeding of acoustic signaturesno summary yetstat-ml1802.06287Microsoft Research0 citesFeb 17, 2018
- FebDistribution Matching in Variational Inferenceno summary yetstat-ml1802.06847Google Research50 citesFeb 19, 2018
- FebPath-Specific Counterfactual Fairnessno summary yetstat-ml1802.08139DeepMind15 citesFeb 22, 2018
- FebLearning Latent Permutations with Gumbel-Sinkhorn Networksno summary yetstat-ml1802.08665Google Research77 citesFeb 23, 2018
- FebSensitivity and Generalization in Neural Networks: an Empirical Studyno summary yetstat-ml1802.08760Google Research100 citesFeb 23, 2018
- FebScalable Private Learning with PATEno summary yetstat-ml1802.08908Google Research87 citesFeb 24, 2018
- FebDeep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Samplingno summary yetstat-ml1802.09127Google Research14 citesFeb 26, 2018
- FebReal-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertisingno summary yetstat-ml1802.09756Alibaba158 citesFeb 27, 2018
- FebMemory-based Parameter Adaptationno summary yetstat-ml1802.10542Google Research26 citesFeb 28, 2018
- JanLearning Tree-based Deep Model for Recommender Systemsno summary yetstat-ml1801.02294Alibaba291 citesJan 8, 2018
- JanMaskGAN: Better Text Generation via Filling in the______no summary yetstat-ml1801.07736Google Research143 citesJan 23, 2018
- JanConsiderations When Learning Additive Explanations for Black-Box Modelsno summary yetstat-ml1801.08640Microsoft Research29 citesJan 26, 2018
- JanTransformation Autoregressive Networksno summary yetstat-ml1801.09819Amazon20 citesJan 30, 2018
2017
51- DecLifting high-dimensional nonlinear models with Gaussian regressorsno summary yetstat-ml1712.03638Google Research5 citesDec 11, 2017
- DecAccurate Inference for Adaptive Linear Modelsno summary yetstat-ml1712.06695Microsoft Research5 citesDec 18, 2017
- DecGeometrical Insights for Implicit Generative Modelingno summary yetstat-ml1712.07822Meta / FAIR4 citesDec 21, 2017
- NovDeep Neural Networks as Gaussian Processesno summary yetstat-ml1711.00165Google Research317 citesNov 1, 2017
- NovThe (Un)reliability of saliency methodsno summary yetstat-ml1711.00867Google Research165 citesNov 2, 2017
- NovIntriguing Properties of Adversarial Examplesno summary yetstat-ml1711.02846Google Research23 citesNov 8, 2017
- NovZ-Forcing: Training Stochastic Recurrent Networksno summary yetstat-ml1711.05411Microsoft Research32 citesNov 15, 2017
- NovLattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognitionno summary yetstat-ml1711.05448Google Research1 citesNov 15, 2017
- NovGeneralizing Hamiltonian Monte Carlo with Neural Networksno summary yetstat-ml1711.09268Google Research25 citesNov 25, 2017
- NovAre GANs Created Equal? A Large-Scale Studyno summary yetstat-ml1711.10337Google Research77 citesNov 28, 2017
- NovInterpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)no summary yetstat-ml1711.11279Google Research476 citesNov 30, 2017
- OctLarge-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequencesno summary yetstat-ml1710.01163Microsoft Research5 citesOct 2, 2017
- OctOn the challenges of learning with inference networks on sparse, high-dimensional datano summary yetstat-ml1710.06085Netflix30 citesOct 17, 2017
- OctDistill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillationno summary yetstat-ml1710.06169Microsoft Research24 citesOct 17, 2017
- OctSimilarity-based Multi-label Learningno summary yetstat-ml1710.10335Adobe0 citesOct 27, 2017
- OctCompact Multi-Class Boosted Treesno summary yetstat-ml1710.11547Google Research2 citesOct 31, 2017
- OctTF Boosted Trees: A scalable TensorFlow based framework for gradient boostingno summary yetstat-ml1710.11555Google Research2 citesOct 31, 2017
- SepEAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examplesno summary yetstat-ml1709.04114Tencent65 citesSep 13, 2017
- SepLearning Functional Causal Models with Generative Neural Networksno summary yetstat-ml1709.05321Meta / FAIR117 citesSep 15, 2017
- SepGenerating Compact Tree Ensembles via Annealingno summary yetstat-ml1709.05545Apple0 citesSep 16, 2017
- SepCombining Machine Learning and Physics to Understand Glassy Systemsno summary yetstat-ml1709.08015Google Research19 citesSep 23, 2017
- AugOn the Protection of Private Information in Machine Learning Systems: Two Recent Approachesno summary yetstat-ml1708.08022Google Research40 citesAug 26, 2017
- JulEfficient Data Representation by Selecting Prototypes with Importance Weightsno summary yetstat-ml1707.01212Amazon1 citesJul 5, 2017
- JulDeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networksno summary yetstat-ml1707.05470Microsoft Research45 citesJul 18, 2017
- JulNon-Asymptotic Uniform Rates of Consistency for k-NN Regressionno summary yetstat-ml1707.06261Google Research3 citesJul 19, 2017
- JulRestricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regressionno summary yetstat-ml1707.08092Amazon1 citesJul 25, 2017
- JulDARLA: Improving Zero-Shot Transfer in Reinforcement Learningno summary yetstat-ml1707.08475DeepMind139 citesJul 26, 2017
- JulCounterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translationno summary yetstat-ml1707.09118Amazon2 citesJul 28, 2017
- JunCascade Ranking for Operational E-commerce Searchno summary yetstat-ml1706.02093Alibaba108 citesJun 7, 2017
- JunMultilevel Clustering via Wasserstein Meansno summary yetstat-ml1706.03883Adobe42 citesJun 13, 2017
- JunRobust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processesno summary yetstat-ml1706.06544Meta / FAIR7 citesJun 20, 2017
- JunCognitive Psychology for Deep Neural Networks: A Shape Bias Case Studyno summary yetstat-ml1706.08606DeepMind61 citesJun 26, 2017
- MayProbabilistic Matrix Factorization for Automated Machine Learningno summary yetstat-ml1705.05355Microsoft Research64 citesMay 15, 2017
- MayEnsemble Adversarial Training: Attacks and Defensesno summary yetstat-ml1705.07204Google Research1,109 citesMay 19, 2017
- MayTowards Understanding the Invertibility of Convolutional Neural Networksno summary yetstat-ml1705.08664Google Research19 citesMay 24, 2017
- MayEfficient Modeling of Latent Information in Supervised Learning using Gaussian Processesno summary yetstat-ml1705.09862Amazon7 citesMay 27, 2017
- AprPreferential Bayesian Optimizationno summary yetstat-ml1704.03651Amazon36 citesApr 12, 2017
- AprMultimodal Prediction and Personalization of Photo Edits with Deep Generative Modelsno summary yetstat-ml1704.04997Adobe5 citesApr 17, 2017
- AprBandit Structured Prediction for Neural Sequence-to-Sequence Learningno summary yetstat-ml1704.06497Amazon11 citesApr 21, 2017
- AprStructured low-rank matrix learning: algorithms and applicationsno summary yetstat-ml1704.07352Microsoft Research6 citesApr 24, 2017
- MarGenerative and Discriminative Text Classification with Recurrent Neural Networksno summary yetstat-ml1703.01898Baidu109 citesMar 6, 2017
- MarBatched High-dimensional Bayesian Optimization via Structural Kernel Learningno summary yetstat-ml1703.01973Microsoft Research20 citesMar 6, 2017
- MarDensity Level Set Estimation on Manifolds with DBSCANno summary yetstat-ml1703.03503Google Research11 citesMar 10, 2017
- MarMinimax Regret Bounds for Reinforcement Learningno summary yetstat-ml1703.05449DeepMind51 citesMar 16, 2017
- MarEnd-to-End Learning for Structured Prediction Energy Networksno summary yetstat-ml1703.05667Google Research31 citesMar 16, 2017
- MarBlock CUR: Decomposing Matrices using Groups of Columnsno summary yetstat-ml1703.06065Adobe0 citesMar 17, 2017
- FebBatch Policy Gradient Methods for Improving Neural Conversation Modelsno summary yetstat-ml1702.03334Microsoft Research7 citesFeb 10, 2017
- FebChanging Model Behavior at Test-Time Using Reinforcement Learningno summary yetstat-ml1702.07780Google Research19 citesFeb 24, 2017
- JanLearning causal effects from many randomized experiments using regularized instrumental variablesno summary yetstat-ml1701.01140Meta / FAIR1 citesJan 4, 2017
- JanManifold Alignment Determination: finding correspondences across different data viewsno summary yetstat-ml1701.03449Amazon0 citesJan 12, 2017
- JanReinforcement Learning Algorithm Selectionno summary yetstat-ml1701.08810Microsoft Research3 citesJan 30, 2017
2016
42- DecOptimal and Adaptive Off-policy Evaluation in Contextual Banditsno summary yetstat-ml1612.01205Microsoft Research20 citesDec 4, 2016
- DecSimple and Scalable Predictive Uncertainty Estimation using Deep Ensemblesno summary yetstat-ml1612.01474Google Research731 citesDec 5, 2016
- NovDeep Information Propagationno summary yetstat-ml1611.01232Google Research24 citesNov 4, 2016
- NovLearning to Learn without Gradient Descent by Gradient Descentno summary yetstat-ml1611.03824Google Research22 citesNov 11, 2016
- NovConservative Contextual Linear Banditsno summary yetstat-ml1611.06426Adobe45 citesNov 19, 2016
- NovBottleneck Conditional Density Estimationno summary yetstat-ml1611.08568Adobe9 citesNov 25, 2016
- NovCapacity and Trainability in Recurrent Neural Networksno summary yetstat-ml1611.09913Google Research82 citesNov 29, 2016
- OctLatent Sequence Decompositionsno summary yetstat-ml1610.03035Google Research37 citesOct 10, 2016
- OctMaximum entropy models capture melodic stylesno summary yetstat-ml1610.03414Sony1 citesOct 11, 2016
- OctSemi-supervised Knowledge Transfer for Deep Learning from Private Training Datano summary yetstat-ml1610.05755Google Research186 citesOct 18, 2016
- OctUsing Fast Weights to Attend to the Recent Pastno summary yetstat-ml1610.06258Google Research2 citesOct 20, 2016
- OctStochastic Gradient MCMC with Stale Gradientsno summary yetstat-ml1610.06664Google Research1 citesOct 21, 2016
- OctOn the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integratorsno summary yetstat-ml1610.06665Google Research4 citesOct 21, 2016
- OctConditional Image Synthesis With Auxiliary Classifier GANsno summary yetstat-ml1610.09585Google Research2,072 citesOct 30, 2016
- AugUltra High-Dimensional Nonlinear Feature Selection for Big Biological Datano summary yetstat-ml1608.04048Amazon9 citesAug 14, 2016
- AugClustering and Community Detection with Imbalanced Clustersno summary yetstat-ml1608.07605Meta / FAIR11 citesAug 26, 2016
- JulWhy is Posterior Sampling Better than Optimism for Reinforcement Learning?no summary yetstat-ml1607.00215DeepMind115 citesJul 1, 2016
- Junf-GAN: Training Generative Neural Samplers using Variational Divergence Minimizationno summary yetstat-ml1606.00709Microsoft Research640 citesJun 2, 2016
- JunROCS-Derived Features for Virtual Screeningno summary yetstat-ml1606.01822Google Research32 citesJun 6, 2016
- JunBayesian Poisson Tucker Decomposition for Learning the Structure of International Relationsno summary yetstat-ml1606.01855Microsoft Research32 citesJun 6, 2016
- JunModal-set estimation with an application to clusteringno summary yetstat-ml1606.04166Google Research8 citesJun 13, 2016
- JunOn the Expressive Power of Deep Neural Networksno summary yetstat-ml1606.05336Google Research77 citesJun 16, 2016
- JunExponential expressivity in deep neural networks through transient chaosno summary yetstat-ml1606.05340Google Research182 citesJun 16, 2016
- JunClustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitationno summary yetstat-ml1606.05896Microsoft Research8 citesJun 19, 2016
- MayDetecting Relative Anomalyno summary yetstat-ml1605.03805Google Research0 citesMay 12, 2016
- MayUnreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemesno summary yetstat-ml1605.06444Microsoft Research141 citesMay 20, 2016
- MayExact Exponent in Optimal Rates for Crowdsourcingno summary yetstat-ml1605.07696Microsoft Research16 citesMay 25, 2016
- MayAdversarial Training Methods for Semi-Supervised Text Classificationno summary yetstat-ml1605.07725OpenAI201 citesMay 25, 2016
- MayEfficient Distributed Learning with Sparsityno summary yetstat-ml1605.07991Tencent42 citesMay 25, 2016
- MayPAC-Bayesian Theory Meets Bayesian Inferenceno summary yetstat-ml1605.08636Google Research14 citesMay 27, 2016
- MayHorizontally Scalable Submodular Maximizationno summary yetstat-ml1605.09619Google Research1 citesMay 31, 2016
- AprEstimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategiesno summary yetstat-ml1604.04198Amazon1 citesApr 14, 2016
- MarMolecular Graph Convolutions: Moving Beyond Fingerprintsno summary yetstat-ml1603.00856Google Research1,687 citesMar 2, 2016
- MarOne-Shot Generalization in Deep Generative Modelsno summary yetstat-ml1603.05106DeepMind75 citesMar 16, 2016
- MarDo Deep Convolutional Nets Really Need to be Deep and Convolutional?no summary yetstat-ml1603.05691Microsoft Research108 citesMar 17, 2016
- FebSupervised and Semi-Supervised Text Categorization using LSTM for Region Embeddingsno summary yetstat-ml1602.02373Baidu137 citesFeb 7, 2016
- FebA Variational Analysis of Stochastic Gradient Algorithmsno summary yetstat-ml1602.02666Adobe59 citesFeb 8, 2016
- FebOnline optimization and regret guarantees for non-additive long-term constraintsno summary yetstat-ml1602.05394Amazon6 citesFeb 17, 2016
- FebStructured Sparse Regression via Greedy Hard-Thresholdingno summary yetstat-ml1602.06042Microsoft Research13 citesFeb 19, 2016
- FebThe Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMMno summary yetstat-ml1602.06349Adobe7 citesFeb 20, 2016
- FebDiscrete Distribution Estimation under Local Privacyno summary yetstat-ml1602.07387Google Research81 citesFeb 24, 2016
- JanUnderstanding Deep Convolutional Networksno summary yetstat-ml1601.04920Google Research681 citesJan 19, 2016
2015
25- DecAdaptive Algorithms for Online Convex Optimization with Long-term Constraintsno summary yetstat-ml1512.07422Amazon10 citesDec 23, 2015
- NovA Test of Relative Similarity For Model Selection in Generative Modelsno summary yetstat-ml1511.04581DeepMind33 citesNov 14, 2015
- NovHow much does your data exploration overfit? Controlling bias via information usageno summary yetstat-ml1511.05219Microsoft Research97 citesNov 16, 2015
- NovOrder Matters: Sequence to sequence for setsno summary yetstat-ml1511.06391Google Research184 citesNov 19, 2015
- OctStructured Transforms for Small-Footprint Deep Learningno summary yetstat-ml1510.01722Google Research103 citesOct 6, 2015
- SepVariational Information Maximisation for Intrinsically Motivated Reinforcement Learningno summary yetstat-ml1509.08731DeepMind100 citesSep 29, 2015
- AugUnbounded Bayesian Optimization via Regularizationno summary yetstat-ml1508.03666Google Research16 citesAug 14, 2015
- JulNatural Neural Networksno summary yetstat-ml1507.00210DeepMind85 citesJul 1, 2015
- JunExtreme Compressive Sampling for Covariance Estimationno summary yetstat-ml1506.00898Microsoft Research5 citesJun 2, 2015
- JunInterpretable Selection and Visualization of Features and Interactions Using Bayesian Forestsno summary yetstat-ml1506.02371DeepMind0 citesJun 8, 2015
- JunBayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Countsno summary yetstat-ml1506.03493Microsoft Research12 citesJun 10, 2015
- JunMinimax Structured Normal Means Inferenceno summary yetstat-ml1506.07902Microsoft Research1 citesJun 25, 2015
- MayVariational Inference with Normalizing Flowsno summary yetstat-ml1505.05770DeepMind1,437 citesMay 21, 2015
- MayOptimizing Non-decomposable Performance Measures: A Tale of Two Classesno summary yetstat-ml1505.06812Microsoft Research19 citesMay 26, 2015
- MaySurrogate Functions for Maximizing Precision at the Topno summary yetstat-ml1505.06813Microsoft Research12 citesMay 26, 2015
- MayA trust-region method for stochastic variational inference with applications to streaming datano summary yetstat-ml1505.07649Adobe12 citesMay 28, 2015
- AprSemi-supervised Convolutional Neural Networks for Text Categorization via Region Embeddingno summary yetstat-ml1504.01255Baidu251 citesApr 6, 2015
- MarA Review of Relational Machine Learning for Knowledge Graphsno summary yetstat-ml1503.00759Google Research1,646 citesMar 2, 2015
- MarKernel-Based Just-In-Time Learning for Passing Expectation Propagation Messagesno summary yetstat-ml1503.02551DeepMind11 citesMar 9, 2015
- MarHierarchical learning of grids of microtopicsno summary yetstat-ml1503.03701Microsoft Research0 citesMar 12, 2015
- MarStatistical Estimation and Clustering of Group-invariant Orientation Parametersno summary yetstat-ml1503.04474Google Research6 citesMar 15, 2015
- MarCrowdsourcing Feature Discovery via Adaptively Chosen Comparisonsno summary yetstat-ml1504.00064Microsoft Research21 citesMar 31, 2015
- FebMassively Multitask Networks for Drug Discoveryno summary yetstat-ml1502.02072Google Research401 citesFeb 6, 2015
- FebA Linear Dynamical System Model for Textno summary yetstat-ml1502.04081Microsoft Research12 citesFeb 13, 2015
- JanSparse Dueling Banditsno summary yetstat-ml1502.00133Adobe7 citesJan 31, 2015
2014
14- DecThe supervised hierarchical Dirichlet processno summary yetstat-ml1412.5236Google Research36 citesDec 17, 2014
- DecSelf-informed neural network structure learningno summary yetstat-ml1412.6563Google Research13 citesDec 20, 2014
- DecCompeting with the Empirical Risk Minimizer in a Single Passno summary yetstat-ml1412.6606Microsoft Research30 citesDec 20, 2014
- NovParameter estimation in spherical symmetry groupsno summary yetstat-ml1411.2540Google Research17 citesNov 10, 2014
- OctA Lower Bound for the Optimization of Finite Sumsno summary yetstat-ml1410.0723Microsoft Research46 citesOct 2, 2014
- OctA provable SVD-based algorithm for learning topics in dominant admixture corpusno summary yetstat-ml1410.6991Microsoft Research36 citesOct 26, 2014
- JunProvable Tensor Factorization with Missing Datano summary yetstat-ml1406.2784Microsoft Research127 citesJun 11, 2014
- JunDistributed Parameter Estimation in Probabilistic Graphical Modelsno summary yetstat-ml1406.3070DeepMind2 citesJun 11, 2014
- JunSpectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcingno summary yetstat-ml1406.3824Microsoft Research108 citesJun 15, 2014
- JunAn Incremental Reseeding Strategy for Clusteringno summary yetstat-ml1406.3837Meta / FAIR5 citesJun 15, 2014
- MayCirculant Binary Embeddingno summary yetstat-ml1405.3162Google Research124 citesMay 13, 2014
- AprDensity Estimation via Discrepancy Based Adaptive Sequential Partitionno summary yetstat-ml1404.1425Google Research10 citesApr 5, 2014
- FebUniversal Matrix Completionno summary yetstat-ml1402.2324Microsoft Research73 citesFeb 10, 2014
- JanStochastic Backpropagation and Approximate Inference in Deep Generative Modelsno summary yetstat-ml1401.4082DeepMind2,663 citesJan 16, 2014
2013
11- DecAdaptive Stochastic Alternating Direction Method of Multipliersno summary yetstat-ml1312.4564Baidu8 citesDec 16, 2013
- DecA Generative Product-of-Filters Model of Audiono summary yetstat-ml1312.5857Adobe3 citesDec 20, 2013
- NovLearning Mixtures of Discrete Product Distributions using Spectral Decompositionsno summary yetstat-ml1311.2972Microsoft Research19 citesNov 12, 2013
- NovUsing Multiple Samples to Learn Mixture Modelsno summary yetstat-ml1311.7184Microsoft Research1 citesNov 28, 2013
- OctWeakly supervised clustering: Learning fine-grained signals from coarse labelsno summary yetstat-ml1310.1363Google Research0 citesOct 4, 2013
- SepScalable Probabilistic Entity-Topic Modelingno summary yetstat-ml1309.0337Google Research3 citesSep 2, 2013
- SepAccelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimizationno summary yetstat-ml1309.2375Baidu18 citesSep 10, 2013
- JulChallenges in Representation Learning: A report on three machine learning contestsno summary yetstat-ml1307.0414Google Research103 citesJul 1, 2013
- JulBayesian Discovery of Multiple Bayesian Networks via Transfer Learningno summary yetstat-ml1307.2312Google Research6 citesJul 9, 2013
- JunPhase Retrieval using Alternating Minimizationno summary yetstat-ml1306.0160Microsoft Research133 citesJun 2, 2013
- JanPerturbative Corrections for Approximate Inference in Gaussian Latent Variable Modelsno summary yetstat-ml1301.2724Microsoft Research12 citesJan 12, 2013
2012
6- NovGradient density estimation in arbitrary finite dimensions using the method of stationary phaseno summary yetstat-ml1211.3038Microsoft Research0 citesNov 13, 2012
- OctSmooth Sparse Coding via Marginal Regression for Learning Sparse Representationsno summary yetstat-ml1210.1121Baidu26 citesOct 3, 2012
- JulStochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensionsno summary yetstat-ml1207.4421Microsoft Research5 citesJul 18, 2012
- JunIdentifiability and Unmixing of Latent Parse Treesno summary yetstat-ml1206.3137Microsoft Research23 citesJun 14, 2012
- JunStochastic Variational Inferenceno summary yetstat-ml1206.7051Adobe27 citesJun 29, 2012
- AprDistribution-Dependent Sample Complexity of Large Margin Learningno summary yetstat-ml1204.1276Microsoft Research0 citesApr 5, 2012
2011
3- JunHashing Algorithms for Large-Scale Learningno summary yetstat-ml1106.0967Microsoft Research105 citesJun 6, 2011
- JunNatural Evolution Strategiesno summary yetstat-ml1106.4487DeepMind269 citesJun 22, 2011
- MayA Risk Comparison of Ordinary Least Squares vs Ridge Regressionno summary yetstat-ml1105.0875Microsoft Research1 citesMay 4, 2011