statistical learning

Change point detection and inference in multivariate non-parametric models under mixing conditions NeurIPS 2023 Class based Influence Functions for Error Detection ACL 2023 Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023 Data Structures for Density Estimation ICML 2023 Demystifying the Optimal Performance of Multi-Class Classification NeurIPS 2023 Density Ratio Estimation and Neyman Pearson Classification with Missing Data AISTATS 2023 Derandomized novelty detection with FDR control via conformal e-values NeurIPS 2023 Diffusion Models are Minimax Optimal Distribution Estimators ICML 2023 Interpolating Classifiers Make Few Mistakes JMLR 2023 Learning Curves for Deep Structured Gaussian Feature Models NeurIPS 2023 Learning Mixtures of Gaussians with Censored Data ICML 2023 Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels CVPR 2023 Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NeurIPS 2023 Mixture Proportion Estimation Beyond Irreducibility ICML 2023 On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions NeurIPS 2023 Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023 Proper Scoring Rules for Survival Analysis ICML 2023 Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions ICLR 2023 Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare AISTATS 2023 Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption JMLR 2023 Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints COLT 2023 Statistical Learning under Heterogeneous Distribution Shift ICML 2023 Stepdown SLOPE for Controlled Feature Selection AAAI 2023 T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023 The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance NeurIPS 2023