Number of items: **5**.

## 2019

Soh, Yong Sheng and Chandrasekaran, Venkat
(2019)
*Learning Semidefinite-Representable Regularizers.*
Foundations of Computational Mathematics, 19
(2).
pp. 375-434.
ISSN 1615-3375.
http://resolver.caltech.edu/CaltechAUTHORS:20170614-100357188

Soh, Yong Sheng and Chandrasekaran, Venkat
(2019)
*Fitting Tractable Convex Sets to Support Function Evaluations.*
.
(Unpublished)
http://resolver.caltech.edu/CaltechAUTHORS:20190626-093718719

## 2017

Soh, Yong Sheng and Chandrasekaran, Venkat
(2017)
*High-dimensional change-point estimation: Combining filtering with convex optimization.*
Applied and Computational Harmonic Analysis, 43
(1).
pp. 122-147.
ISSN 1063-5203.
http://resolver.caltech.edu/CaltechAUTHORS:20170525-100137066

Soh, Yong Sheng and Chandrasekaran, Venkat
(2017)
*A Matrix Factorization Approach for Learning Semidefinite-Representable Regularizers.*
.
(Unpublished)
http://resolver.caltech.edu/CaltechAUTHORS:20190627-102426714

## 2015

Soh, Yong Sheng and Chandrasekaran, Venkat
(2015)
*High-dimensional change-point estimation: Combining filtering with convex optimization.*
In:
2015 IEEE International Symposium on Information Theory.
IEEE
, Piscataway, NJ, pp. 151-155.
ISBN 978-1-4673-7704-1.
http://resolver.caltech.edu/CaltechAUTHORS:20151007-111059602

This list was generated on **Sat Jul 20 01:58:57 2019 PDT**.