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KullbackLeibler divergence
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21	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
22	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
23	Algorithms for Non-negative Matrix Factorization Daniel D. Lee* BelJ Laboratories Lucent Technologies Add to Reading List Source URL: papers.nips.cc Language: English* - Date: 2014-04-15 02:01:26 Matrix theory Multivariate statistics Linear algebra Non-negative matrix factorization Matrix Derivative KullbackLeibler divergence Divergence PerronFrobenius theorem Convolution Principal component analysis
24	Deep neural network context embeddings for model selection in rich-context HMM synthesis Thomas Merritt1 , Junichi Yamagishi1,2 , Zhizheng Wu1 , Oliver Watts1 , Simon King1 1 The Centre for Speech Technology Research, U Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Markov models Automatic identification and data capture Computer accessibility Speech recognition Speech synthesis Hidden Markov model KullbackLeibler divergence
25	How biased are maximum entropy models? Jakob H. Macke Gatsby Computational Neuroscience Unit University College London, UK Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Statistical theory Information theory Randomness Statistical randomness Estimation theory Entropy Principle of maximum entropy KullbackLeibler divergence Maximum likelihood estimation Normal distribution Differential entropy Maximum entropy probability distribution
26	Bayesian Learning Using Automatic Relevance Determination Prior with an Application to Earthquake Early Warning Chang Kook Oh1; James L. Beck2; and Masumi Yamada3 Abstract: A novel method of Bayesian learning with automa Add to Reading List Source URL: www.eqh.dpri.kyoto-u.ac.jp Language: English - Date: 2010-06-15 00:37:08 Statistical theory Naive Bayes classifier Statistical classification Bayesian inference KullbackLeibler divergence Bayesian network
27	INVITED PAPER Dynamic and Succinct Statistical Analysis of Neuroscience Data Add to Reading List Source URL: coleman.ucsd.edu Language: English Statistical theory Artificial neural network Thorn Granger causality Bayesian inference Bayesian network Statistical inference Mutual information Linear regression KullbackLeibler divergence Causality Statistics
28	Deformable Template As Active Basis Ying Nian Wu, Zhangzhang Si, Chuck Fleming, and Song-Chun Zhu UCLA Department of Statistics http://www.stat.ucla.edu/∼ywu/ActiveBasis.html Abstract Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2007-08-20 02:10:20 Statistical theory Probability distributions Signal processing Timefrequency analysis Wavelet Regression analysis KullbackLeibler divergence FO Maximum likelihood estimation Exponential distribution Closed and exact differential forms Bayesian multivariate linear regression
29	Tsallis Kernels on Measures Andr´e F. T. Martins∗† ∗ Language Technologies Institute Carnegie Mellon University Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2007-11-25 10:58:18 Statistical mechanics Information theory Operator theory Tsallis statistics Tsallis entropy Positive-definite kernel Kernel KullbackLeibler divergence Q-derivative Distribution
30	Which cliques? • In general, an undirected model can place potentials on any subset of the cliques of the graph. Lecture 11: Iterative Proportional Fitting Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-10-06 18:57:16 Statistical theory Estimation theory XC KullbackLeibler divergence Cross entropy Clique Maximum likelihood estimation

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