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Kullback–Leibler divergence
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241	How biased are maximum entropy models? Jakob H. Macke Gatsby Computational Neuroscience Unit University College London, UK [removed] Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2011-11-16 10:58:04 Information theory Randomness Estimation theory Statistical inference Entropy Principle of maximum entropy Kullback–Leibler divergence Maximum likelihood Mutual information Statistics Probability and statistics Statistical theory
242	Judgment and Decision Making, Vol. 7, No. 2, March 2012, pp. 119–148 Information search with situation-specific reward functions Björn Meder∗ Jonathan D. Nelson∗ Add to Reading List Source URL: journal.sjdm.org Language: English - Date: 2012-03-31 13:00:11 Statistical theory Thermodynamics Detection theory Physics Game theory Statistics Kullback–Leibler divergence
243	Mind Reading by Machine Learning: A Doubly Bayesian Method for Inferring Mental Representations – supplementary material – Ferenc Husz´ ar ([removed]) Department of Engineering, University of Cambridge, Ca Add to Reading List Source URL: learning.eng.cam.ac.uk Language: English - Date: 2010-08-25 06:18:29 Bayesian statistics Science Neuroscience Cognitive psychology Psychophysics Kullback–Leibler divergence Prior probability Entailment Bayesian inference Statistics Logic Statistical theory
244	Prediction with Limited Advice and Multiarmed Bandits with Paid Observations Full Version Including Appendices Yevgeny Seldin Queensland University of Technology and UC Berkeley Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Mathematical sciences Kullback–Leibler divergence Statistical theory Thermodynamics
245	Two is better than one: distinct roles for familiarity and recollection when retrieving palimpsest memories – supplementary text – Cristina Savin1 [removed] Add to Reading List Source URL: learning.eng.cam.ac.uk Language: English - Date: 2011-10-25 12:51:22 Thermodynamics Random variable Probability and statistics Measurement Statistics Kullback–Leibler divergence Statistical theory
246	A FAMILY OF DISCRIMINATIVE TRAINING CRITERIA BASED ON THE F-DIVERGENCE FOR DEEP NEURAL NETWORKS Markus Nussbaum-Thom1,2 , Xiaodong Cui1 , Ralf Schl¨uter2 , Vaibhava Goel1 , Hermann Ney2,3 1 2 Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Mathematical analysis Statistical theory Randomness Kullback–Leibler divergence Thermodynamics Divergence Mutual information Entropy Cross entropy Statistics Information theory Mathematics
247	Journal of Machine Learning Research[removed]Submitted 4/00; Published[removed]Likelihood and F-measure maximization under uncertainty Georgi Dimitroff Add to Reading List Source URL: www.ontotext.com Language: English - Date: 2014-08-19 16:38:16 Kullback–Leibler divergence Thermodynamics Weight Principle of maximum entropy Mean Exponential distribution Maximum spacing estimation Statistics Statistical theory Probability and statistics
248	PARAMETER LEARNING FOR POMDP SPOKEN DIALOGUE MODELS B. Thomson, F. Jurˇc´ıcˇ ek, M. Gaˇsi´c, S. Keizer, F. Mairesse, K. Yu, S. Young Cambridge University Engineering Department ABSTRACT The partially observable Mar Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2010-11-09 15:42:38 Estimation theory Expectation–maximization algorithm Maximum likelihood Partially observable Markov decision process Parameter Kullback–Leibler divergence Normal distribution Bayesian network Dialogue Statistics Statistical theory Bayesian statistics
249	Cold-start Active Learning with Robust Ordinal Matrix Factorization Neil Houlsby1 Jos´e Miguel Hern´andez-Lobato1 Zoubin Ghahramani University of Cambridge, Department of Engineering, Cambridge CB2 1PZ, UK Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2014-07-12 13:27:52 Statistical models Regression analysis Markov models Mixture model Kullback–Leibler divergence Variational Bayesian methods Bayesian inference Naive Bayes classifier Principle of maximum entropy Statistics Bayesian statistics Statistical theory
250	Tight Parallel Repetition Theorems for Public-Coin Arguments using KL-divergence Kai-Min Chung1,⋆ and Rafael Pass2,⋆⋆ 1 Academia Sinica Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2015-01-13 19:40:20 Statistical theory Kullback–Leibler divergence Thermodynamics Soundness Mathematics IP Information theory Proof theory Logic Science

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