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Statistical Learning

4,076 papers

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Papers

On Suboptimality of Least Squares with Application to Estimation of Convex Bodies COLT 2020
Learning Robust Decision Policies from Observational Data NIPS 2020
The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization JMLR 2020
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020
Inferring learning rules from animal decision-making NIPS 2020
Goodness-of-Fit Tests for Inhomogeneous Random Graphs ICML 2020
Minimax Bounds for Generalized Linear Models NIPS 2020
Refined bounds for algorithm configuration: The knife-edge of dual class approximability ICML 2020
With Little Power Comes Great Responsibility EMNLP 2020
On Second-Order Group Influence Functions for Black-Box Predictions ICML 2020
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020
A Stein Goodness-of-fit Test for Directional Distributions AISTATS 2020
Spectral Methods for Ranking with Scarce Data UAI 2020
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020
Sharp uniform convergence bounds through empirical centralization NIPS 2020
Bessel Smoothing and Multi-Distribution Property Estimation COLT 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation NIPS 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation NIPS 2020
Non-asymptotic Analysis for Nonparametric Testing COLT 2020
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model ICML 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020
Detecting Out-of-Distribution Examples with Gram Matrices ICML 2020
A Computational Separation between Private Learning and Online Learning NIPS 2020
Open Problem: Information Complexity of VC Learning COLT 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More ICML 2020