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Near-Optimal Algorithms for Online Matrix Prediction Elad Hazan (Technion) Satyen Kale (Yahoo! Labs) Shai Shalev-Shwartz (Hebrew University)
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The Important Nerves During Venous Ablation
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Taming the monster: A fast and simple algorithm for contextual bandits PRESENTED BY Satyen Kale Joint work with Alekh Agarwal, Daniel Hsu, John Langford,
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+ Francisco O. Ramirez Stanford University School of Education P ORTRAITS OF C ITIZENSHIP, S TATE AND S OCIETY IN S CHOOL T EXTBOOKS A ROUND T HE W ORLD
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Rational Learning Leads to Nash Equilibrium Ehud Kalai and Ehud Lehrer Econometrica, Vol. 61 No. 5 (Sep 1993), 1019-1045 Presented by Vincent Mak (
[email protected]
)
[email protected]
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Process Improvement: Practice Makes Better Facilitated for TAHIMA by: Carrie Cordero, MHA, RHIA
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Fast Distributed Algorithm for Convergecast in Ad Hoc Geometric Radio Networks Alex Kesselman, Darek Kowalski MPI Informatik
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Experts Learning and The Minimax Theorem for Zero-Sum Games Maria Florina Balcan December 8th 2011
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Harnessing health data for patient and public benefit Professor Tjeerd van Staa HeRC (
[email protected]
)
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Online Learning by Projecting: From Theory to Large Scale Web-spam filtering Yoram Singer Koby Crammer (Upenn), Ofer Dekel (Google/HUJI), Vineet Gupta
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