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Convex optimization
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#	Item
291	SLOPE – Adaptive Variable Selection via Convex Optimization Malgorzata Bogdana Ewout van den Bergb Chiara Sabattic,d Weijie Sud Emmanuel J. Cand`esd,e∗ May 2014† a Add to Reading List Source URL: statweb.stanford.edu - Date: 2014-07-14 16:35:00
292	Discussion: Latent variable graphical model selection via convex optimization Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-01-28 10:12:02
293	Augustrevised DecemberReport LIDSIncremental Gradient, Subgradient, and Proximal Methods for Convex Optimization: A Survey Add to Reading List Source URL: web.mit.edu Language: English - Date: 2015-01-13 20:30:36
294	Single-Ballot Risk-Limiting Audits Using Convex Optimization Stephen Checkoway UC San Diego Anand Sarwate UC San Diego Add to Reading List Source URL: www.usenix.org Language: English
295	Convex Optimization & Machine Learning Introduction to Optimization CO&ML Add to Reading List Source URL: www.iip.ist.i.kyoto-u.ac.jp Language: English - Date: 2011-10-21 02:36:31
296	CONVEX OPTIMIZATION FOR TENSOR DECOMPOSITION Ryota Tomioka1 Department of Mathematical Informatics, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, , JAPAN, 1 Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-08-06 20:50:16
297	Convex Optimization & Machine Learning Convex Functions Most slides in this lecture are taken from Add to Reading List Source URL: www.iip.ist.i.kyoto-u.ac.jp Language: English - Date: 2011-11-17 22:29:46
298	Convex Optimization & Machine Learning Convex Problems & Duality Most slides in this lecture are taken from Add to Reading List Source URL: www.iip.ist.i.kyoto-u.ac.jp Language: English - Date: 2011-11-17 22:29:52
299	Exact Matrix Completion via Convex Optimization Emmanuel J. Cand`es† and Benjamin Recht] † Applied and Computational Mathematics, Caltech, Pasadena, CACenter for the Mathematics of Information, Caltech, Pasa Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2008-05-29 00:49:47
300	Stochastic convex optimization Alexander Gasnikov PreMoLab MIPT, HSE, IITP RAS Abstract. We describe contemporary (optimal) methods for numerical solution of stochastic programming problems. These problems arise in Add to Reading List Source URL: www.hse.ru - Date: 2015-03-20 18:17:49

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