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Mathematical Programming

, Volume 176, Issue 1–2, pp 1–4 | Cite as

Preface

  • Yufeng Liu
  • Jong-Shi PangEmail author
  • Jack Xin
Preface Series B
  • 128 Downloads

On May 26 and 27, 2017, a 2-day interdisciplinary Conference on Nonconvex Statistical Learning was held on the campus of the University of Southern California. The motivation of this conference stems from the increasing interest in the use of nonconvex functionals and their optimization in modeling and solving statistical learning problems. This special volume contains a subset of papers presented at the conference together with submissions received through a general call to the broad community. Through a referee process similar to all papers published in the Mathematical Programming journals, a collection of seventeen papers on different topics is accepted for publication; below we give an overview of these papers.

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Notes

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature and Mathematical Optimization Society 2019

Authors and Affiliations

  1. 1. Department of Statistics and Operations ResearchUniversity of North Carolina at Chapel HillChapel HillUSA
  2. 2. The Daniel J. Epstein Department of Industrial and Systems EngineeringUniversity of Southern CaliforniaLos AngelesUSA
  3. 3.Department of MathematicsUniversity of California at IrvineIrvineUSA

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