statistical guarantee

Statistical guarantees for local graph clustering JMLR 2021 Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021 Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning CoRL 2021 Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020 Discovering Conditionally Salient Features with Statistical Guarantees ICML 2019 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review ALT 2019 Multi-Class Learning: From Theory to Algorithm NeurIPS 2018 Alternating Estimation for Structured High-Dimensional Multi-Response Models NeurIPS 2017 Ordinal Graphical Models: A Tale of Two Approaches ICML 2017 Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees ICML 2017 Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017 Computational and Statistical Tradeoffs in Learning to Rank NeurIPS 2016 Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NeurIPS 2015 Elementary Estimators for High-Dimensional Linear Regression ICML 2014 Exponential Family Matrix Completion under Structural Constraints ICML 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014