Near-Optimal Algorithms for Online Matrix Prediction Elad Hazan (Technion) Satyen Kale (Yahoo! Labs) Shai Shalev-Shwartz (Hebrew University)
The Important Nerves During Venous Ablation
Taming the monster: A fast and simple algorithm for contextual bandits PRESENTED BY Satyen Kale Joint work with Alekh Agarwal, Daniel Hsu, John Langford,
Broadcasting in UDG Radio Networks with Unknown Topology Yuval Emek, Leszek Gąsieniec, Erez Kantor, Andrzej Pelc, David Peleg, Chang Su, Weizmann Liverpool.
+ 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.
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].
Process Improvement: Practice Makes Better Facilitated for TAHIMA by: Carrie Cordero, MHA, RHIA.
Fast Distributed Algorithm for Convergecast in Ad Hoc Geometric Radio Networks Alex Kesselman, Darek Kowalski MPI Informatik.
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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Online Learning by Projecting: From Theory to Large Scale Web-spam filtering
CSE 473 Ensemble Learning. © CSE AI Faculty 2 Ensemble Learning Sometimes each learning technique yields a different hypothesis (or function) But no perfect.
