Statistical Learning

DeltaGrad: Rapid retraining of machine learning models ICML 2020 Detecting Out-of-Distribution Examples with Gram Matrices ICML 2020 Differentially Private Survival Function Estimation MLHC 2020 Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions ICML 2020 Discriminative Method to Extract Coarse Prosodic Structure and its Application for Statistical Phrase/Accent Command Estimation Interspeech 2020 Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020 Distributed Feature Screening via Componentwise Debiasing JMLR 2020 Distributed Signal Detection under Communication Constraints COLT 2020 Distributionally Robust Parametric Maximum Likelihood Estimation NeurIPS 2020 Distributional Robustness with IPMs and links to Regularization and GANs NeurIPS 2020 Distribution-free binary classification: prediction sets, confidence intervals and calibration NeurIPS 2020 Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift NeurIPS 2020 Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit COLT 2020 Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020 Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020 Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime ICML 2020 Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes JMLR 2020 Doubly robust off-policy evaluation with shrinkage ICML 2020 Effectively Unbiased FID and Inception Score and Where to Find Them CVPR 2020 Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020 Efficient Learning of Discrete Graphical Models NeurIPS 2020 Efficient nonparametric statistical inference on population feature importance using Shapley values ICML 2020 Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More ICML 2020 EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices UAI 2020 Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 2020