Statistical Learning

Distributed Statistical Inference under Heterogeneity JMLR 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023 Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023 Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods NeurIPS 2023 Distribution Free Prediction Sets for Node Classification ICML 2023 Distribution-Free Statistical Dispersion Control for Societal Applications NeurIPS 2023 Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions COLT 2023 Distribution Learnability and Robustness NeurIPS 2023 Divergence-Based Domain Transferability for Zero-Shot Classification EACL 2023 Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions ICML 2023 Domain Adaptation under Missingness Shift AISTATS 2023 Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control NeurIPS 2023 Double-Weighting for Covariate Shift Adaptation ICML 2023 DRCFS: Doubly Robust Causal Feature Selection ICML 2023 Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method JMLR 2023 Efficient Algorithms for Sparse Moment Problems without Separation COLT 2023 Efficient median of means estimator COLT 2023 Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection AAAI 2023 Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks NeurIPS 2023 Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023 ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models ICML 2023 Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions ICML 2023 Empirical Bayes via ERM and Rademacher complexities: the Poisson model COLT 2023 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 Error Bounds for Learning with Vector-Valued Random Features NeurIPS 2023