Statistics

Intrinsic dimensionality estimation using Normalizing Flows NeurIPS 2022 Intrinsic Dimension Estimation Using Wasserstein Distance JMLR 2022 KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss AAAI 2022 Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency AISTATS 2022 Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training JMLR 2022 Learning with little mixing NeurIPS 2022 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NeurIPS 2022 Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022 Metrics of Calibration for Probabilistic Predictions JMLR 2022 Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022 Modeling the Machine Learning Multiverse NeurIPS 2022 Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach JMLR 2022 Nearly-Tight Bounds for Testing Histogram Distributions NeurIPS 2022 Network change point localisation under local differential privacy NeurIPS 2022 Nonparametric Neighborhood Selection in Graphical Models JMLR 2022 Normalizing Flows for Knockoff-free Controlled Feature Selection NeurIPS 2022 Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory ICML 2022 Online Control of the False Discovery Rate under "Decision Deadlines" AISTATS 2022 On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NeurIPS 2022 Optimal Mean Estimation without a Variance COLT 2022 Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance NAACL 2022 Outcome Assumptions and Duality Theory for Balancing Weights AISTATS 2022 Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions NeurIPS 2022 PAC Mode Estimation using PPR Martingale Confidence Sequences AISTATS 2022 Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022