Statistical Learning

Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023 Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023 FedSysID: A Federated Approach to Sample-Efficient System Identification L4DC 2023 FFAEval: Evaluating Dialogue System via Free-For-All Ranking EMNLP 2023 Fine-Grained Distribution-Dependent Learning Curves COLT 2023 Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation NeurIPS 2023 Finite-Sample Symmetric Mean Estimation with Fisher Information Rate COLT 2023 Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023 Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances UAI 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 Forgotten Knowledge: Examining the Citational Amnesia in NLP ACL 2023 From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions JMLR 2023 From Robustness to Privacy and Back ICML 2023 Frustratingly Easy Truth Discovery AAAI 2023 Functional Distributional Semantics at Scale ACL 2023 Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data JMLR 2023 Fundamental limits and algorithms for sparse linear regression with sublinear sparsity JMLR 2023 Fundamentals of Task-Agnostic Data Valuation AAAI 2023 Fundamental Tradeoffs in Learning with Prior Information ICML 2023 Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023 Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023 Generalization Analysis for Contrastive Representation Learning ICML 2023 Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses ICLR 2023 Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings AAAI 2023 Generalization error bounds for multiclass sparse linear classifiers JMLR 2023