Statistical Learning

Transfer learning for tensor Gaussian graphical models JMLR 2024 Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness NeurIPS 2024 Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy ICML 2024 Two fundamental limits for uncertainty quantification in predictive inference COLT 2024 Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 Unbiased Estimator for Distorted Conics in Camera Calibration CVPR 2024 Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024 Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024 Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression ICLR 2024 Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024 Understanding Higher-Order Correlations Among Semantic Components in Embeddings EMNLP 2024 Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024 Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models COLT 2024 Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024 Universal Rates for Active Learning NeurIPS 2024 Universal Rates of Empirical Risk Minimization NeurIPS 2024 Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024 Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models NeurIPS 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NeurIPS 2024 U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024 Variance estimation in compound decision theory under boundedness NeurIPS 2024 VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024 Verifiably Robust Conformal Prediction NeurIPS 2024 Weak Supervision Performance Evaluation via Partial Identification NeurIPS 2024