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Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates., , and . NeurIPS, page 4343-4354. (2018)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)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)How Many Samples are Needed to Learn a Convolutional Neural Network?, , , , , and . CoRR, (2018)Stochastic Zeroth-order Optimization in High Dimensions., , , and . CoRR, (2017)Low Permutation-rank Matrices: Structural Properties and Noisy Completion., , and . CoRR, (2017)A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness., , and . CoRR, (2016)Communication interception of human signal transduction pathways by Human Immunodeficiency Virus-1., , , and . GENSiPS, page 1-4. IEEE, (2009)Interactive Linear Regression with Pairwise Comparisons., , , and . ACSSC, page 636-640. IEEE, (2018)