Projection-Free Stochastic Bi-Level Optimization

被引:0
|
作者
Akhtar, Zeeshan [1 ]
Bedi, Amrit Singh [2 ]
Thomdapu, Srujan Teja [1 ]
Rajawat, Ketan [1 ]
机构
[1] Indian Institute of Technology Kanpur, Department of Electrical Engineering, Kanpur,208016, India
[2] University of Maryland, Institute of Systems Research, College Park,MD,20742, United States
关键词
Noise abatement - Optimization - Signal processing - Stochastic models - Stochastic systems;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:6332 / 6347
相关论文
共 50 条
  • [1] Projection-Free Stochastic Bi-Level Optimization
    Akhtar, Zeeshan
    Bedi, Amrit Singh
    Thomdapu, Srujan Teja
    Rajawat, Ketan
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2022, 70 : 6332 - 6347
  • [2] A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
    Xiao, Tesi
    Balasubramanian, Krishnakumar
    Ghadimi, Saeed
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35, NEURIPS 2022, 2022,
  • [3] Projection-free nonconvex stochastic optimization on Riemannian manifolds
    Weber, Melanie
    Sra, Suvrit
    IMA JOURNAL OF NUMERICAL ANALYSIS, 2022, 42 (04) : 3241 - 3271
  • [4] Distributed Stochastic Projection-Free Algorithm for Constrained Optimization
    Jiang, Xia
    Zeng, Xianlin
    Xie, Lihua
    Sun, Jian
    Chen, Jie
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2025, 70 (04) : 2479 - 2494
  • [5] Variance-Reduced and Projection-Free Stochastic Optimization
    Hazan, Elad
    Luo, Haipeng
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 48, 2016, 48
  • [6] Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
    Cao, Jincheng
    Jiang, Ruichen
    Abolfazli, Nazanin
    Hamedani, Erfan Yazdandoost
    Mokhtari, Aryan
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [7] Distributed gradient-free and projection-free algorithm for stochastic constrained optimization
    Hou J.
    Zeng X.
    Chen C.
    Autonomous Intelligent Systems, 2024, 4 (01):
  • [8] Efficient projection-free online convex optimization using stochastic gradients
    Xie, Jiahao
    Zhang, Chao
    Shen, Zebang
    Qian, Hui
    MACHINE LEARNING, 2025, 114 (04)
  • [9] Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity
    Chen, Lin
    Harshaw, Christopher
    Hassani, Hamed
    Karbasi, Amin
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 80, 2018, 80
  • [10] Projection-Free Bandit Optimization with Privacy Guarantees
    Ene, Alina
    Nguyen, Huy L.
    Vladu, Adrian
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 7322 - 7330