Convex conjugate

Results: 21



#Item
1c 2007 Society for Industrial and Applied Mathematics  SIAM J. MATRIX ANAL. APPL. Vol. 29, No. 4, pp. 1120–1146

c 2007 Society for Industrial and Applied Mathematics  SIAM J. MATRIX ANAL. APPL. Vol. 29, No. 4, pp. 1120–1146

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Source URL: users.cms.caltech.edu

Language: English - Date: 2008-02-13 00:22:37
21  Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory Sanggyun Kim, Diego Mesa, Rui Ma, and Todd P. Coleman

1 Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory Sanggyun Kim, Diego Mesa, Rui Ma, and Todd P. Coleman

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Source URL: arxiv.org

Language: English - Date: 2015-09-29 20:20:39
317th European Signal Processing Conference (EUSIPCOGlasgow, Scotland, August 24-28, 2009 NON-CONVEX PRIORS IN BAYESIAN COMPRESSED SENSING S. Derin Babacan1 ,

17th European Signal Processing Conference (EUSIPCOGlasgow, Scotland, August 24-28, 2009 NON-CONVEX PRIORS IN BAYESIAN COMPRESSED SENSING S. Derin Babacan1 ,

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Source URL: decsai.ugr.es

Language: English - Date: 2009-09-21 12:26:53
4Journal of Machine Learning Research1890  Submitted 12/10; Revised 10/11; Published 6/12 Regularization Techniques for Learning with Matrices Sham M. Kakade

Journal of Machine Learning Research1890 Submitted 12/10; Revised 10/11; Published 6/12 Regularization Techniques for Learning with Matrices Sham M. Kakade

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Source URL: dept.stat.lsa.umich.edu

Language: English - Date: 2012-09-12 18:50:25
5DUALITY IN DYNAMIC DISCRETE CHOICE MODELS KHAI X. CHIONG§ , ALFRED GALICHON† , AND MATT SHUM♣ Abstract. Using results from convex analysis, we investigate a novel approach to identification and estimation of discret

DUALITY IN DYNAMIC DISCRETE CHOICE MODELS KHAI X. CHIONG§ , ALFRED GALICHON† , AND MATT SHUM♣ Abstract. Using results from convex analysis, we investigate a novel approach to identification and estimation of discret

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Source URL: www.qeconomics.org

Language: English - Date: 2015-07-10 14:34:51
6Noname manuscript No. (will be inserted by the editor) An optimal subgradient algorithm with subspace search for costly convex optimization problems Masoud Ahookhosh · Arnold Neumaier

Noname manuscript No. (will be inserted by the editor) An optimal subgradient algorithm with subspace search for costly convex optimization problems Masoud Ahookhosh · Arnold Neumaier

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Source URL: www.mat.univie.ac.at

Language: English - Date: 2015-04-01 13:26:40
7Nonmonotone Spectral Projected Gradient Methods on Convex Sets Ernesto G. Birgin ∗

Nonmonotone Spectral Projected Gradient Methods on Convex Sets Ernesto G. Birgin ∗

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Source URL: www.ime.usp.br

Language: English - Date: 2006-04-13 13:20:50
8The Fast Convergence of Boosting  Matus Telgarsky Department of Computer Science and Engineering University of California, San Diego 9500 Gilman Drive, La Jolla, CA[removed]

The Fast Convergence of Boosting Matus Telgarsky Department of Computer Science and Engineering University of California, San Diego 9500 Gilman Drive, La Jolla, CA[removed]

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Source URL: cseweb.ucsd.edu

Language: English - Date: 2011-12-09 16:19:41
9STAT 538 Lecture 2 Conjugate Function, Bregman Divergences, Concepts of Information Theory c 
Marina Meil˘a

STAT 538 Lecture 2 Conjugate Function, Bregman Divergences, Concepts of Information Theory c Marina Meil˘a

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-01-13 22:08:39
10JMLR: Workshop and Conference Proceedings vol[removed]–31  The Geometry of Losses Robert C. Williamson B OB .W ILLIAMSON @ ANU . EDU . AU Australian National University and NICTA, Canberra ACT 0200, Australia

JMLR: Workshop and Conference Proceedings vol[removed]–31 The Geometry of Losses Robert C. Williamson B OB .W ILLIAMSON @ ANU . EDU . AU Australian National University and NICTA, Canberra ACT 0200, Australia

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2014-05-18 19:15:11