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DateTeam Members
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8/27/2014Avrim BlumTopic of presentation
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8/29/2014Avrim BlumOnline learning
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9/3/2014Avrim BlumWinnow, sleeping experts
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9/5/2014Avrim BlumPerceptron, Kernels
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9/10/2014out of townwork as a group on problem set
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9/12/2014out of townwork as a group on problem set
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9/17/2014Avrim BlumVC-dimension
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9/19/2014Avrim BlumRademacher bounds
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9/24/2014Avrim BlumBoosting
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9/26/2014Avrim BlumKernels, similarity measures, and representations
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10/1/2014Avrim BlumLearning Finite-State Environments
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10/3/2014Avrim BlumOnline linear optimization
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10/8/2014Avrim BlumBandit algorithms, internal regret, game theory
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10/10/2014out of townwork as a group on problem set
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10/15/2014Avrim Blum [replace if you want to present today]Semi-supervised learning [replace if you want to present today]
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10/17/2014out of townwork as a group on problem set
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10/22/2014Kai-Wei ChangRobust Multi-objective Learning with Mentor Feedback
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10/24/2014Ching-Hua YuBandits with Switchining Costs: T^{2/3} Regret
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10/29/2014(Ashish Khetan, Yingxiang Yang, Shaileshh Bojja)Online learning with composite loss functions
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10/31/2014Liwei WangProvable Bounds for Learning Some Deep Representation
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11/5/2014Hsien-Chih Chang, Chao XuUniqueness of Ordinal Embedding
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11/7/2014Anh Truong, Jalal EtesamiMultiarmed Bandits With Limited Expert Advice
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11/12/2014Ching-Pei LeeThe sample complexity of agnostic learning under deterministic labels
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11/14/2014Sheng Wang, Xueqing Liu, Ning XuBoosting with Online Binary Learners for the Multiclass Bandit Problem
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11/19/2014Cem Subakan, John Wieting
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability
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11/21/2014Yihan Gao, Haoruo Peng, Fangbo Tao, Huan GuiLogistic Regression: Tight Bounds for Stochastic and Online Optimization
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12/3/2014Kristen Vaccaro, Ismini Lourentzou, Casey Hanson
Belief Propagation, Robust Reconstruction and Optimal Recovery of Block Models
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12/5/2014Stephen Mayhew, Shyam Upadhyay, Adam VollrathOn the duality of strong convexity and strong smoothness
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12/10/2014Kent and DanielBlind Bandits
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