Statistical Learning

AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators NeurIPS 2022 A Kernelised Stein Statistic for Assessing Implicit Generative Models NeurIPS 2022 Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation ICLR 2022 Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective NeurIPS 2022 An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation MIDL 2022 An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings ICML 2022 An Efficient Minimax Optimal Estimator For Multivariate Convex Regression COLT 2022 An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022 A New Family of Generalization Bounds Using Samplewise Evaluated CMI NeurIPS 2022 A new similarity measure for covariate shift with applications to nonparametric regression ICML 2022 An Improper Estimator with Optimal Excess Risk in Misspecified Density Estimation and Logistic Regression JMLR 2022 An Information Fusion Approach to Learning with Instance-Dependent Label Noise ICLR 2022 An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift AISTATS 2022 An Information-Theoretic Framework for Deep Learning NeurIPS 2022 Anisotropic Random Feature Regression in High Dimensions ICLR 2022 An Item Response Theory Framework for Persuasion NAACL 2022 A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models NeurIPS 2022 Anonymized Histograms in Intermediate Privacy Models NeurIPS 2022 A PAC-Bayesian Generalization Bound for Equivariant Networks NeurIPS 2022 Approximate Top-m Arm Identification with Heterogeneous Reward Variances AISTATS 2022 A Probabilistic Graph Coupling View of Dimension Reduction NeurIPS 2022 Are reported accuracies in the clinical speech machine learning literature overoptimistic? Interspeech 2022 A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk NeurIPS 2022 Aspect-based Analysis of Advertising Appeals for Search Engine Advertising NAACL 2022 A Statistical Approach for Optimal Topic Model Identification JMLR 2022