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Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension.

. EuroCOLT, volume 1208 of Lecture Notes in Computer Science, page 1-2. Springer, (1997)

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Relative Expected Instantaneous Loss Bounds., and . COLT, page 90-99. Morgan Kaufmann, (2000)Two-temperature logistic regression based on the Tsallis divergence., and . CoRR, (2017)Tracking the Best Expert., and . Mach. Learn., 32 (2): 151-178 (1998)On-line Prediction and Conversion Strategies., , , and . Mach. Learn., 25 (1): 71-110 (1996)Rank-smoothed Pairwise Learning In Perceptual Quality Assessment., , , and . CoRR, (2020)Boosting as Entropy Projection., and . COLT, page 134-144. ACM, (1999)On-Line Learning of Linear Functions, , and . STOC, page 465-475. ACM, (1991)Unlabeled Compression Schemes for Maximum Classes, ., and . COLT, volume 3559 of Lecture Notes in Computer Science, page 591-605. Springer, (2005)Tracking a Small Set of Experts by Mixing Past Posteriors., and . COLT/EuroCOLT, volume 2111 of Lecture Notes in Computer Science, page 31-47. Springer, (2001)Leaving the Span., and . COLT, volume 3559 of Lecture Notes in Computer Science, page 366-381. Springer, (2005)