Volume 167, Issue 1

January 2018

Special Issue: Optimization Models and Algorithms for Data Science

Issue Editors:

8 articles in this issue

Special issue: Optimization models and algorithms for data science
Panos Parpas
Daniel Ralph
Wolfram Wiesemann
Preface 12 December 2017 Pages: 1 - 3
Max-norm optimization for robust matrix recovery
Ethan X. Fang
Han Liu
Wen-Xin Zhou
Full Length Paper 30 May 2017 Pages: 5 - 35
Primal and dual predicted decrease approximation methods
Amir Beck
Edouard Pauwels
Shoham Sabach
Full Length Paper 03 February 2017 Pages: 37 - 73
Near-optimal stochastic approximation for online principal component estimation
Chris Junchi Li
Mengdi Wang
Tong Zhang
Full Length Paper 19 August 2017 Pages: 75 - 97
Consistent learning by composite proximal thresholding
Patrick L. Combettes
Saverio Salzo
Silvia Villa
Full Length Paper 25 March 2017 Pages: 99 - 127
Interpreting latent variables in factor models via convex optimization
Armeen Taeb
Venkat Chandrasekaran
Full Length Paper 06 September 2017 Pages: 129 - 154
Wait-and-judge scenario optimization
M. C. Campi
S. Garatti
Full Length Paper 26 July 2016 Pages: 155 - 189
Data-driven inverse optimization with imperfect information
Peyman Mohajerin Esfahani
Soroosh Shafieezadeh-Abadeh
Daniel Kuhn
Full Length Paper 07 December 2017 Pages: 191 - 234

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