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Statistical Learning

4076 directly classified papers

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Papers

Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024
DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024
Clustering Items From Adaptively Collected Inconsistent Feedback AISTATS 2024
Comparing Comparators in Generalization Bounds AISTATS 2024
Deep anytime-valid hypothesis testing AISTATS 2024
ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024
Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NIPS 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks AISTATS 2024
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes NIPS 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving NIPS 2024
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning AISTATS 2024
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NIPS 2024