Convex analysis

Results: 1100



#Item
91CS264: Beyond Worst-Case Analysis Lecture #1: Three Motivating Examples∗ Tim Roughgarden† September 22,

CS264: Beyond Worst-Case Analysis Lecture #1: Three Motivating Examples∗ Tim Roughgarden† September 22,

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Source URL: theory.stanford.edu

Language: English - Date: 2014-11-02 12:29:21
92AFFINE MAXIMAL HYPERSURFACES  Xu-Jia Wang Centre for Mathematics and Its Applications The Australian National University

AFFINE MAXIMAL HYPERSURFACES Xu-Jia Wang Centre for Mathematics and Its Applications The Australian National University

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Source URL: maths-people.anu.edu.au

Language: English - Date: 2004-02-26 00:40:42
93http://www.frankfabozzi.com/tutorials/irrm.htm

http://www.frankfabozzi.com/tutorials/irrm.htm

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Source URL: www.frankfabozzi.com

Language: English - Date: 2011-01-22 06:57:05
94Survivor curve shape and internet revenue: A laboratory experiment. Christina Aperjis HP Labs, 1501 Page Mill Rd, Palo Alto, CACiril Bosch-Rosa

Survivor curve shape and internet revenue: A laboratory experiment. Christina Aperjis HP Labs, 1501 Page Mill Rd, Palo Alto, CACiril Bosch-Rosa

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Source URL: www.macroeconomics.tu-berlin.de

Language: English - Date: 2013-10-23 09:22:34
95A convex optimization approach to generalized moment problems in multivariate spectral estimation Michele Pavon Department of Mathematics University of Padova, Padova, Italy

A convex optimization approach to generalized moment problems in multivariate spectral estimation Michele Pavon Department of Mathematics University of Padova, Padova, Italy

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Source URL: math.nyu.edu

Language: English - Date: 2014-02-18 16:33:06
961  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
97MONAURAL SEPARATION AND CLASSIFICATION OF NON-LINEAR TRANSFORMED INDEPENDENT SIGNALS: AN SVM PERSPECTIVE Sepp Hochreiter and Michael C. Mozer Department of Computer Science University of Colorado Boulder, CO 80309

MONAURAL SEPARATION AND CLASSIFICATION OF NON-LINEAR TRANSFORMED INDEPENDENT SIGNALS: AN SVM PERSPECTIVE Sepp Hochreiter and Michael C. Mozer Department of Computer Science University of Colorado Boulder, CO 80309

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:26:38
98P R E V I E W S O F W O R K S F O R S A L E AT U P C O M I N G S H O W S C O A S T T O C O A S T  ISSUE 120 OCTOBER 2015

P R E V I E W S O F W O R K S F O R S A L E AT U P C O M I N G S H O W S C O A S T T O C O A S T ISSUE 120 OCTOBER 2015

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Source URL: www.nuartgallery.com

Language: English - Date: 2015-09-25 11:46:29
99General Young’s inequality for real numbers 27 April 2006 Abstract This text contains the statement and proof of Young’s inequality for real numbers and a generalization of it. Its generalization has a nice graphical

General Young’s inequality for real numbers 27 April 2006 Abstract This text contains the statement and proof of Young’s inequality for real numbers and a generalization of it. Its generalization has a nice graphical

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Source URL: canizo.org

Language: English - Date: 2015-01-23 17:44:04
100Mach Learn:3–39 DOIs10994A majorization-minimization approach to the sparse generalized eigenvalue problem Bharath K. Sriperumbudur · David A. Torres ·

Mach Learn:3–39 DOIs10994A majorization-minimization approach to the sparse generalized eigenvalue problem Bharath K. Sriperumbudur · David A. Torres ·

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:27