Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization

7 August 2019

Papers citing "Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization"

8 / 8 papers shown

Title
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints Yutian He Yankun Huang Yao Yao Qihang Lin FaML 4 0 0 18 May 2025
A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization Wei Liu Yangyang Xu 71 3 0 31 Jan 2025
A Penalty-Based Guardrail Algorithm for Non-Decreasing Optimization with Inequality Constraints Ksenija Stepanovic Wendelin Bohmer Mathijs de Weerdt 27 0 0 03 May 2024
Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization Nachuan Xiao Kuang-Yu Ding Xiaoyin Hu Kim-Chuan Toh 32 2 0 15 Apr 2024
Primal Methods for Variational Inequality Problems with Functional Constraints Liang Zhang Niao He Michael Muehlebach 42 2 0 19 Mar 2024
GBM-based Bregman Proximal Algorithms for Constrained Learning Zhenwei Lin Qi Deng 26 1 0 21 Aug 2023
Fairness Uncertainty Quantification: How certain are you that the model is fair? Abhishek Roy P. Mohapatra 24 5 0 27 Apr 2023
Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization Zichong Li Pinzhuo Chen Sijia Liu Songtao Lu Yangyang Xu 32 17 0 19 Dec 2022