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Learning theory
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331	JMLR: Workshop and Conference Proceedings vol 40:1–35, 2015 On Learning Distributions from their Samples Sudeep Kamath SUKAMATH @ PRINCETON . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Probability distributions Statistical theory KullbackLeibler divergence Binomial distribution Beta distribution Estimation theory Median Normal distribution Bias of an estimator
332	RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning Dharmashankar Subramanian IBM T. J. Watson Research Center Yorktown Heights, NY 10598 Add to Reading List Source URL: marek.petrik.us Language: English - Date: 2016-07-14 09:59:52 Algebraic geometry Field theory Valuation Reinforcement learning Differential topology
333	The Gradual Evolution of Language Add to Reading List Source URL: www.humanamente.eu Language: English - Date: 2015-10-12 08:42:05 Cognitive science Linguistics Human evolution Motor control Language Origin of language Vocal learning Animal communication Mirror neuron Kanzi Theory of mind Motor cortex
334	Minimizing Regret with Multiple Reserves TIM ROUGHGARDEN, Stanford University JOSHUA R. WANG, Stanford University We study the problem of computing and learning non-anonymous reserve prices to maximize revenue. We first Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2016-08-08 16:20:04 Auction theory Mechanism design Auctions Game theory Vickrey auction VickreyClarkeGroves auction Auction VickreyClarkeGroves mechanism Matroid Linear programming Random-sampling mechanism
335	Sparse Learning of Markovian Population Models in Random Environments Christoph Zechner1 , Federico Wadehn1 , and Heinz Koeppl1,2,3 1 arXiv:1401.4026v1 [q-bio.QM] 16 Jan 2014 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-16 20:42:47 Probability distributions Infinitely divisible probability distributions Statistical theory Exponentials Markov models Variational Bayesian methods Gamma distribution Bayesian network KullbackLeibler divergence Bayesian inference Expectationmaximization algorithm Markov chain
336	Late Breaking Result Poster, IEEE International Conference on Robotics and Automation (ICRA), Seattle, USA, Online Learning of Sagittal Push Recovery for Bipedal Robots Marcell Missura and Sven Behnke Institute fo Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2015-05-24 09:34:17 Statistical theory Estimation theory
337	Testing Models of Social Learning on Networks Add to Reading List Source URL: thred.devecon.org Language: English - Date: 2016-05-27 15:28:06 Statistical models Statistical inference Statistical theory Bayesian network Networks Bayesian inference Bayesian statistics Prior probability Bayesian probability
338	Concepts and Categories Concepts and Categories II Informatics 1 CG: Lecture 16 Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-23 08:51:49 Semantics Cognition Learning theory Cognitive science Prototype theory Categorization Type theory Category of being Theory Exemplar theory Concept learning
339	Journal of Machine Learning Research1101 Submitted 1/14; Revised 9/14; Published 5/15 Lasso Screening Rules via Dual Polytope Projection Jie Wang Add to Reading List Source URL: peterwonka.net Language: English - Date: 2015-11-20 08:10:44 Econometrics Estimation theory Linear regression Regression analysis Lie algebras
340	ADVANCES in UNIVERSUM LEARNING 1 Vladimir Cherkassky 1 and Sauptik Dhar 2 Dept. of Electrical & Computer Eng., University of Minnesota, Minneapolis, MNtelfaxemail Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:21:34 Machine learning Statistical classification Support vector machine Learning Transduction Statistical learning theory Binary classification Pattern recognition Artificial neural network

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