Statistical Learning

A Statistical Framework for Efficient Out of Distribution Detection in Deep Neural Networks ICLR 2022 A Statistical Manifold Framework for Point Cloud Data ICML 2022 A Statistical Online Inference Approach in Averaged Stochastic Approximation NeurIPS 2022 Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm NeurIPS 2022 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022 Asymptotic optimality for active learning processes UAI 2022 Asymptotic Properties for Bayesian Neural Network in Besov Space NeurIPS 2022 A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization ICML 2022 AutoML Two-Sample Test NeurIPS 2022 AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control NeurIPS 2022 A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates JMLR 2022 AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs NeurIPS 2022 Behind the Mask: Demographic bias in name detection for PII masking ACL 2022 Bellman Residual Orthogonalization for Offline Reinforcement Learning NeurIPS 2022 Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches AACL 2022 Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting NeurIPS 2022 Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning AISTATS 2022 Beyond black box densities: Parameter learning for the deviated components NeurIPS 2022 Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge AISTATS 2022 Beyond IID: data-driven decision-making in heterogeneous environments NeurIPS 2022 Beyond Mahalanobis Distance for Textual OOD Detection NeurIPS 2022 Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs NeurIPS 2022 Bias-Variance Decompositions for Margin Losses AISTATS 2022 Bounding and Approximating Intersectional Fairness through Marginal Fairness NeurIPS 2022 Bregman Power k-Means for Clustering Exponential Family Data ICML 2022