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Near-Optimal Closeness Testing of Discrete Histogram Distributions., , and . ICALP, volume 80 of LIPIcs, page 8:1-8:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)A robust Khintchine inequality, and algorithms for computing optimal constants in Fourier analysis and high-dimensional geometry, , and . (2012)cite arxiv:1207.2229Comment: Extended abstract to appear in ICALP'13.Learning Structured Distributions.. Handbook of Big Data, Chapman and Hall/CRC, (2016)On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games., and . AAAI, page 1869-1876. AAAI Press, (2019)Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees., , , , and . CoRR, (2020)List-Decodable Mean Estimation in Nearly-PCA Time., , , , and . CoRR, (2020)Outlier-Robust Learning of Ising Models Under Dobrushin's Condition., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 1645-1682. PMLR, (2021)Agnostic Proper Learning of Halfspaces under Gaussian Marginals., , , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 1522-1551. PMLR, (2021)Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models., , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 3936-3978. PMLR, (2022)Learning Online Algorithms with Distributional Advice., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2687-2696. PMLR, (2021)