Volume 82, Issue 3

December 2020

Special Issue On Optimization for Data Sciences

Issue Editors:

10 articles in this issue

Preface to the Special Issue on Optimization for Data Sciences
Gabriel Peyré
Antonin Chambolle
OriginalPaper 17 December 2019 Pages: 889 - 890
Convergence of Stochastic Proximal Gradient Algorithm
Lorenzo Rosasco
Silvia Villa
Bằng Công Vũ
OriginalPaper 15 October 2019 Pages: 891 - 917
Point Process Estimation with Mirror Prox Algorithms
Niao He
Zaid Harchaoui
Le Song
OriginalPaper 26 November 2019 Pages: 919 - 947
Simple Algorithms for Optimization on Riemannian Manifolds with Constraints
Changshuo Liu
Nicolas Boumal
OriginalPaper 28 March 2019 Pages: 949 - 981
Complexity and Applications of the Homotopy Principle for Uniformly Constrained Sparse Minimization
Christoph Brauer
Dirk A. Lorenz
OriginalPaper 13 April 2019 Pages: 983 - 1016
On the Robust PCA and Weiszfeld’s Algorithm
Sebastian Neumayer
Max Nimmer
Gabriele Steidl
OriginalPaper 05 April 2019 Pages: 1017 - 1048
Robust Budget Allocation Via Continuous Submodular Functions
Matthew Staib
Stefanie Jegelka
OriginalPaper 29 March 2019 Pages: 1049 - 1079
Template-Based Image Reconstruction from Sparse Tomographic Data
Lukas F. Lang
Sebastian Neumayer
Carola-Bibiane Schönlieb
OriginalPaper Open access 14 May 2019 Pages: 1081 - 1109
Properly-Weighted Graph Laplacian for Semi-supervised Learning
Jeff Calder
Dejan Slepčev
OriginalPaper 07 December 2019 Pages: 1111 - 1159
Greedy Variance Estimation for the LASSO
Christopher Kennedy
Rachel Ward
OriginalPaper 14 March 2019 Pages: 1161 - 1182

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