Statistical Learning

A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing COLT 2023 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NeurIPS 2023 Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation AISTATS 2023 Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random Designs COLT 2023 Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares ALT 2023 A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023 (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy NeurIPS 2023 A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023 An Acoustic Analysis of Fricative Variation in Three Accents of English Interspeech 2023 Analysis and automatic prediction of exertion from speech: Contrasting objective and subjective measures collected while running Interspeech 2023 Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems L4DC 2023 Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities Interspeech 2023 An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023 A New Challenge in Policy Evaluation AAAI 2023 A new ranking scheme for modern data and its application to two-sample hypothesis testing COLT 2023 An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech Interspeech 2023 An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions NeurIPS 2023 An information-theoretic quantification of the content of communication between brain regions NeurIPS 2023 A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023 An Ordinal Latent Variable Model of Conflict Intensity ACL 2023 A Permutation-Free Kernel Independence Test JMLR 2023 Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023 A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023 Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023 A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023