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A Data Efficient and Feasible Level Set Method for Stochastic Convex
  Optimization with Expectation Constraints
v1v2 (latest)

A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints

Journal of machine learning research (JMLR), 2019
7 August 2019
Qihang Lin
Selvaprabu Nadarajah
Negar Soheili
Tianbao Yang
ArXiv (abs)PDFHTML

Papers citing "A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints"

4 / 4 papers shown
Stochastic Methods for AUC Optimization subject to AUC-based Fairness
  Constraints
Stochastic Methods for AUC Optimization subject to AUC-based Fairness ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yao Yao
Qihang Lin
Tianbao Yang
FaML
376
13
0
23 Dec 2022
Stochastic Compositional Optimization with Compositional Constraints
Stochastic Compositional Optimization with Compositional ConstraintsINFORMS Journal on Optimization (INFORMS J. Optim.), 2022
Shuoguang Yang
Wei You
Zhe Zhang
Ethan X. Fang
289
4
0
09 Sep 2022
Data-Driven Minimax Optimization with Expectation Constraints
Data-Driven Minimax Optimization with Expectation ConstraintsOperational Research (OR), 2022
Shuoguang Yang
Xudong Li
Guanghui Lan
238
12
0
16 Feb 2022
Solving Stochastic Optimization with Expectation Constraints Efficiently
  by a Stochastic Augmented Lagrangian-Type Algorithm
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type AlgorithmINFORMS journal on computing (IJOC), 2021
Liwei Zhang
Yule Zhang
Jia Wu
X. Xiao
216
16
0
22 Jun 2021
1
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