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On the difficulty of approximately maximizing agreements.

, , and . J. Comput. Syst. Sci., 66 (3): 496-514 (2003)

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On-Line Learning with Linear Loss Constraints., and . COLT, page 412-421. ACM, (1993)Approximating Hyper-Rectangles: Learning and Pseudo-Random Sets., , and . STOC, page 314-323. ACM, (1997)Random classification noise defeats all convex potential boosters., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 608-615. ACM, (2008)Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate., and . ICML, page 703-710. Omnipress, (2010)New bounds on the price of bandit feedback for mistake-bounded online multiclass learning.. ALT, volume 76 of Proceedings of Machine Learning Research, page 3-10. PMLR, (2017)New Bounds for Learning Intervals with Implications for Semi-Supervised Learning., and . COLT, volume 23 of JMLR Proceedings, page 30.1-30.15. JMLR.org, (2012)Martingale Boosting., and . COLT, volume 3559 of Lecture Notes in Computer Science, page 79-94. Springer, (2005)A Theoretical Analysis of Query Selection for Collaborative Filtering., and . COLT/EuroCOLT, volume 2111 of Lecture Notes in Computer Science, page 517-528. Springer, (2001)The Singular Values of Convolutional Layers., , and . ICLR (Poster), OpenReview.net, (2019)Guest Editor's Introduction.. Mach. Learn., 27 (1): 5 (1997)