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Statistical Learning

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Papers

A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions ICML 2021
A statistical perspective on distillation ICML 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization ICML 2021
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners ICML 2021
Incentivizing Compliance with Algorithmic Instruments ICML 2021
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications ICML 2021
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods ICML 2021
Regularizing towards Causal Invariance: Linear Models with Proxies ICML 2021
Inference for Network Regression Models with Community Structure ICML 2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length ICML 2021
Towards Practical Mean Bounds for Small Samples ICML 2021
On Linear Identifiability of Learned Representations ICML 2021
Asymptotics of Ridge Regression in Convolutional Models ICML 2021
State Relevance for Off-Policy Evaluation ICML 2021
Deeply-Debiased Off-Policy Interval Estimation ICML 2021
A Precise Performance Analysis of Support Vector Regression ICML 2021
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ICML 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples ICML 2021
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP ICML 2021
Task-Optimal Exploration in Linear Dynamical Systems ICML 2021
Label Distribution Learning Machine ICML 2021
Robust Inference for High-Dimensional Linear Models via Residual Randomization ICML 2021
Inferring serial correlation with dynamic backgrounds ICML 2021
Conformal prediction interval for dynamic time-series ICML 2021
Delving into Deep Imbalanced Regression ICML 2021