Statistical Learning

Rogue Scores ACL 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023 Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling NeurIPS 2023 Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023 Sample Complexity of Forecast Aggregation NeurIPS 2023 Sample Complexity of Kernel-Based Q-Learning AISTATS 2023 SAT-Based PAC Learning of Description Logic Concepts IJCAI 2023 Scalable Membership Inference Attacks via Quantile Regression NeurIPS 2023 Scalable Optimal Margin Distribution Machine IJCAI 2023 Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice JMLR 2023 Scaling in Cognitive Modelling: a Multilingual Approach to Human Reading Times ACL 2023 Scaling Laws for BERT in Low-Resource Settings ACL 2023 Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data ICML 2023 Score-based Quickest Change Detection for Unnormalized Models AISTATS 2023 Seeing through the mess: evolutionary dynamics of lexical polysemy EMNLP 2023 Selection by Prediction with Conformal p-values JMLR 2023 Selective Nonparametric Regression via Testing ACML 2023 Semantic Similarity Covariance Matrix Shrinkage EMNLP 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 Semiparametric Inference Using Fractional Posteriors JMLR 2023 Semi-Verified PAC Learning from the Crowd AISTATS 2023 Sequential Changepoint Detection via Backward Confidence Sequences ICML 2023 Sequential Kernelized Independence Testing ICML 2023 Sharing Pattern Submodels for Prediction with Missing Values AAAI 2023 Sharper Bounds for ℓ_p Sensitivity Sampling ICML 2023