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Fooling polytopes., , and . STOC, page 614-625. ACM, (2019)On the Distribution of the Fourier Spectrum of Halfspaces, , , , and . (2012)cite arxiv:1202.6680.Harnessing the Power of Choices in Decision Tree Learning., , , , , and . CoRR, (2023)Fooling Gaussian PTFs via local hyperconcentration., , and . STOC, page 1170-1183. ACM, (2020)Boolean Function Monotonicity Testing Requires (Almost) n1/2 Non-adaptive Queries., , , and . STOC, page 519-528. ACM, (2015)Approximating Boolean Functions with Depth-2 Circuits., and . CCC, page 74-85. IEEE Computer Society, (2013)Decision Tree Heuristics Can Fail, Even in the Smoothed Setting., , , and . APPROX-RANDOM, volume 207 of LIPIcs, page 45:1-45:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Superconstant Inapproximability of Decision Tree Learning., , and . COLT, volume 247 of Proceedings of Machine Learning Research, page 2979-3010. PMLR, (2024)Properly learning decision trees with queries is NP-hard., , and . FOCS, page 2383-2407. IEEE, (2023)A query-optimal algorithm for finding counterfactuals., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 2075-2090. PMLR, (2022)