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Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions., , , and . ISIT, page 1271-1276. IEEE, (2020)A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness., , and . CoRR, (2016)Low Permutation-rank Matrices: Structural Properties and Noisy Completion., , and . CoRR, (2017)Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues., , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 11-20. JMLR.org, (2016)Stochastic Zeroth-order Optimization in High Dimensions., , , and . CoRR, (2017)How Many Samples are Needed to Learn a Convolutional Neural Network?, , , , , and . CoRR, (2018)Rate optimal estimation and confidence intervals for high-dimensional regression with missing covariates., , , and . J. Multivar. Anal., (2019)Statistical and computational guarantees for the Baum-Welch algorithm., , and . Allerton, page 658-665. IEEE, (2015)Optimal kernel choice for large-scale two-sample tests., , , , , , and . NIPS, page 1214-1222. (2012)On Learning Ising Models under Huber's Contamination Model., , , and . NeurIPS, (2020)