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Bregman divergence
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#	Item
1	That was fast! Speeding up NN search of high dimensional distributions. Emanuele Coviello University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093 Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:02:39 Statistics Geometry Statistical distance Information Statistical theory Information theory Bregman divergence Search algorithms KullbackLeibler divergence Variational Bayesian methods Expectationmaximization algorithm Divergence
2	That was fast! Speeding up NN search of high dimensional distributions. Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Statistics Geometry Statistical distance Estimation theory Statistical theory Bregman divergence Divergence Expectationmaximization algorithm Exponential family KullbackLeibler divergence Variational Bayesian methods
3	c 2007 Society for Industrial and Applied Mathematics SIAM J. MATRIX ANAL. APPL. Vol. 29, No. 4, pp. 1120–1146 Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2008-02-13 00:22:37 Statistical distance Convex analysis Probability distributions Mathematical optimization Bregman divergence Normal distribution Divergence KullbackLeibler divergence Convex function Gamma distribution Convex conjugate Symbol
4	Nonparametric estimation of the likelihood ratio and divergence functionals 1 XuanLong Nguyen1 , Martin J. Wainwright1,2 and Michael I. Jordan1,2 Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2007-05-25 17:26:02 Geometry Mathematical analysis Statistical distance Statistics F-divergence KullbackLeibler divergence Divergence Bregman divergence Distribution Hellinger distance
5	Journal of Machine Learning Research1890 Submitted 12/10; Revised 10/11; Published 6/12 Regularization Techniques for Learning with Matrices Sham M. Kakade Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-09-12 18:50:25 Mathematical analysis Mathematical optimization Mathematics Convex analysis Convex function Bregman divergence Convex conjugate Lp space Convex optimization Online machine learning Norm Multiple kernel learning
6	Regularizers versus Losses for Nonlinear Dimensionality Reduction Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-12-26 22:59:57 Multivariate statistics Dimension reduction Matrix theory Computational statistics Linear algebra Nonlinear dimensionality reduction Bregman divergence Semidefinite embedding Principal component analysis Statistics Algebra Mathematics
7	CCCG 2006, Kingston, Ontario, August 14–16, 2006 On the Smallest Enclosing Information Disk∗ Frank Nielsen† Abstract Add to Reading List Source URL: cccg.ca Language: English - Date: 2008-10-27 22:58:55 Statistical theory Information theory Bregman divergence Kullback–Leibler divergence Normal distribution Information geometry Divergence Exponential family Lp space Statistics Geometry Mathematical analysis
8	Generalized Optimal Reverse Prediction Martha White and Dale Schuurmans Department of Computing Science University of Alberta {whitem, dale}@cs.ualberta.ca Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:24:08 Bregman divergence Mixture model Unsupervised learning Pattern recognition Supervised learning Information geometry Cluster analysis Support vector machine Transduction Statistics Machine learning Semi-supervised learning
9	Convex Relaxations of Bregman Divergence Clustering Hao Cheng Department of Computing Science Xinhua Zhang Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-07-27 14:43:51 Mathematical optimization Kullback–Leibler divergence Bregman divergence Statistics Convex analysis Convex optimization
10	Regularizers versus Losses for Nonlinear Dimensionality Reduction Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:24:23 Multivariate statistics Dimension reduction Matrix theory Computational statistics Linear algebra Nonlinear dimensionality reduction Bregman divergence Semidefinite embedding Principal component analysis Statistics Algebra Mathematics

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