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Statistical Learning

4,117 papers

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Papers

An Online Bootstrap for Time Series AISTATS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024
Online Distribution Learning with Local Privacy Constraints AISTATS 2024
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
Clustering Items From Adaptively Collected Inconsistent Feedback AISTATS 2024
Deep anytime-valid hypothesis testing AISTATS 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024
Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024
Autoregressive Bandits AISTATS 2024
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data AISTATS 2024
Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials AISTATS 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024
When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024
Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024
MMD-based Variable Importance for Distributional Random Forest AISTATS 2024