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1410.4821
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Convex Optimization in Julia
17 October 2014
Madeleine Udell
Karanveer Mohan
David Zeng
Jenny Hong
Steven Diamond
Stephen P. Boyd
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Papers citing
"Convex Optimization in Julia"
22 / 22 papers shown
Disciplined Biconvex Programming
Hao Zhu
Joschka Boedecker
142
1
0
03 Nov 2025
Multi-convex Programming for Discrete Latent Factor Models Prototyping
Hao Zhu
Shengchao Yan
Jasper Hoffmann
Joschka Boedecker
AI4CE
208
1
0
02 Apr 2025
Disciplined Geodesically Convex Programming
Andrew Cheng
Vaibhav Dixit
Melanie Weber
348
1
0
07 Jul 2024
Safe Control for Soft-Rigid Robots with Self-Contact using Control Barrier Functions
International Conference on Soft Robotics (RoboSoft), 2023
Zachary Patterson
Wei Xiao
Emily R. Sologuren
Daniela Rus
176
13
0
06 Nov 2023
Convexity Certificates from Hessians
Neural Information Processing Systems (NeurIPS), 2022
Julien Klaus
Niklas Merk
Konstantin Wiedom
Soren Laue
Joachim Giesen
131
1
0
19 Oct 2022
Stochastic Constrained DRO with a Complexity Independent of Sample Size
Q. Qi
Jiameng Lyu
Kung-Sik Chan
E. Bai
Tianbao Yang
293
19
0
11 Oct 2022
Parameterized Convex Universal Approximators for Decision-Making Problems
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Jinrae Kim
Youdan Kim
156
7
0
17 Jan 2022
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo
Journal of Computational And Graphical Statistics (JCGS), 2022
Qiang Heng
Hua Zhou
Eric C. Chi
188
9
0
01 Jan 2022
A Look at Communication-Intensive Performance in Julia
Amal Rizvi
Kyle C. Hale
102
3
0
28 Sep 2021
AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia
Frank Schafer
Mohamed Tarek
Lyndon White
Chris Rackauckas
254
5
0
25 Sep 2021
Self-Healing First-Order Distributed Optimization
IEEE Conference on Decision and Control (CDC), 2021
Israel L. Donato Ridgley
R. Freeman
K. Lynch
209
5
0
05 Apr 2021
Extensions to the Proximal Distance Method of Constrained Optimization
Journal of machine learning research (JMLR), 2020
Alfonso Landeros
Oscar Hernan Madrid Padilla
Hua Zhou
K. Lange
283
10
0
02 Sep 2020
Optimal Representative Sample Weighting
Shane T. Barratt
Guillermo Angeris
Stephen P. Boyd
59
7
0
18 May 2020
Differentiable Convex Optimization Layers
Neural Information Processing Systems (NeurIPS), 2019
Akshay Agrawal
Brandon Amos
Shane T. Barratt
Stephen P. Boyd
Steven Diamond
Zico Kolter
462
801
0
28 Oct 2019
Map-Predictive Motion Planning in Unknown Environments
IEEE International Conference on Robotics and Automation (ICRA), 2019
Amine Elhafsi
Boris Ivanovic
Lucas Janson
Marco Pavone
138
34
0
17 Oct 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization
John C. Duchi
Hongseok Namkoong
OOD
609
494
0
20 Oct 2018
Bootstrap Robust Prescriptive Analytics
Dimitris Bertsimas
Bart P. G. Van Parys
94
62
0
27 Nov 2017
CVXR: An R Package for Disciplined Convex Optimization
A. Fu
B. Narasimhan
Stephen P. Boyd
278
160
0
21 Nov 2017
Two-temperature logistic regression based on the Tsallis divergence
Ehsan Amid
Manfred K. Warmuth
Sriram Srinivasan
NoLa
244
29
0
19 May 2017
Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval
John C. Duchi
Feng Ruan
226
188
0
05 May 2017
Stochastic Methods for Composite and Weakly Convex Optimization Problems
John C. Duchi
Feng Ruan
296
141
0
24 Mar 2017
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach
Mathematics of Operations Research (MOR), 2016
John C. Duchi
Peter Glynn
Hongseok Namkoong
539
360
0
11 Oct 2016
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