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Statistical learning theory
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#	Item
71	Learning the Preferences of Ignorant, Inconsistent Agents Owain Evans ¨ Andreas Stuhlmuller Add to Reading List Source URL: stuhlmueller.org Language: English - Date: 2015-12-27 07:52:45 Logic Statistics Economics Game theory Behavioral finance Expected utility Statistical theory Microeconomics Expected utility hypothesis Dynamic inconsistency Hyperbolic discounting Preference
72	Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-11-04 10:51:45 Machine learning Manifold regularization Semi-supervised learning Supervised learning Stability Pattern recognition Support vector machine Linear classifier Multiple instance learning Loss function Statistical learning theory Generalization error
73	Data Adaptive Pre-Specification for Experimental and Observational Data Maya Petersen with Laura Balzer, Linh Tran, Mark van der Laan Add to Reading List Source URL: www.bitss.org Language: English - Date: 2016-01-25 14:32:50 Statistical inference Statistical theory Statistical methods Econometrics Estimation theory Statistics Machine learning Regression analysis Artificial neural network Estimator Bias
74	PREDICTING WHEN TO LAUGH WITH STRUCTURED CLASSIFICATION Bilal Piot1 , Olivier Pietquin2 , Matthieu Geist1 1 SUPELEC IMS-MaLIS research group and UMIGeorgiaTech - CNRS) 2 Add to Reading List Source URL: www.metz.supelec.fr Language: English - Date: 2014-07-15 03:12:51 Theoretical computer science Machine learning Learning Statistical classification Support vector machine Laughter K-nearest neighbors algorithm Algorithm Computational learning theory Artificial neural network NP Reinforcement learning
75	Bandits all the way down: UCB1 as a simulation policy in Monte Carlo Tree Search Edward J. Powley, Daniel Whitehouse, and Peter I. Cowling Department of Computer Science York Centre for Complex Systems Analysis Universit Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Monte Carlo methods Combinatorial game theory Monte Carlo tree search Statistical mechanics General game playing Reinforcement learning Simulation Thomas Nast Artificial intelligence
76	1 Towards a theory of individual differences in statistical learning Add to Reading List Source URL: cnl.psych.cornell.edu Language: English - Date: 2016-07-10 22:37:57 Intelligence Attention deficit hyperactivity disorder G factor Psychometrics Two-alternative forced choice Attention
77	NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Machine learning Computational neuroscience Estimation theory Statistical theory Restricted Boltzmann machine Deep learning Boltzmann machine Feature learning Deep belief network MNIST database Likelihood function
78	A Tensor Spectral Approach to Learning Mixed Membership Community Models arXiv:1302.2684v4 [cs.LG] 24 OctAnima Anandkumar1 , Rong Ge2 , Daniel Hsu3 , and Sham M. Kakade3 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-27 21:56:48 Networks Graph theory Probability distributions Machine learning Statistical models Community structure Dirichlet distribution Higher-order singular value decomposition Stochastic block model Gibbs sampling Markov chain Tensor
79	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
80	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

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