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Convex
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#	Item
111	III.2 Convex Set Systems III.2 53 Add to Reading List Source URL: www.cs.duke.edu - Date: 2006-10-16 09:23:18
112	Convex Risks, Calibrated Surrogates, Consistency, and Their Relationship with Nonparametric Estimation Shivani Agarwal Add to Reading List Source URL: materials.dagstuhl.de - Date: 2015-09-02 14:11:33
113	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Francis Bach INRIA - Sierra Project-Team Add to Reading List Source URL: papers.nips.cc - Date: 2014-12-02 18:40:41
114	Hit-and-Run for Sampling and Planning in Non-Convex Spaces arXiv:1610.08865v1 [stat.CO] 19 Oct 2016 Yasin Abbasi-Yadkori Queensland University of Technology Add to Reading List Source URL: arxiv.org - Date: 2016-10-27 20:13:57
115	Convex and coherent risk measures ¨ Hans FOLLMER Institut f¨ ur Mathematik Humboldt-Universit¨at Add to Reading List Source URL: www.alexschied.de - Date: 2009-03-07 10:48:57
116	JMLR: Workshop and Conference Proceedings vol 35:1–45, 2014 A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates Yudong Chen YUDONG . CHEN @ BERKELEY. EDU Add to Reading List Source URL: jmlr.org - Date: 2014-05-28 14:26:58
117	2009 年 SCI 收录我校师生论文一览（共 122 篇） 1. 标题: Duality gap of the conic convex constrained optimization problems in normed Add to Reading List Source URL: lib.hrbust.edu.cn - Date: 2010-03-15 22:08:03
118	Dual Representation of Minimal Supersolutions of Convex BSDEsI Samuel Drapeaua,1,∗ , Michael Kupperb,2,∗ , Emanuela Rosazza Gianinc,3 , Ludovic Tangpia,4,† December 15, 2014 A BSTRACT Add to Reading List Source URL: www.mat.univie.ac.at - Date: 2015-07-13 19:52:37
119	HIGH ORDER REGULARITY FOR CONSERVATION LAWS RONALD A. DeVORE* and BRADLEY J. LUCIER Abstract. We study the regularity of discontinuous entropy solutions to scalar hyperbolic conservation laws with uniformly convex flux Add to Reading List Source URL: www.math.purdue.edu - Date: 2005-08-03 16:12:42**
120	The last few years has seen a flurry of activity in non-convex approaches to enable solution of large scale optimization problems that come up in machine learning. The common thread in many of these results is that low-r Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48

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