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A Projection-free Algorithm for Constrained Stochastic Multi-level
  Composition Optimization
v1v2v3 (latest)

A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization

Neural Information Processing Systems (NeurIPS), 2022
9 February 2022
Tesi Xiao
Krishnakumar Balasubramanian
Saeed Ghadimi
ArXiv (abs)PDFHTMLGithub

Papers citing "A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization"

5 / 5 papers shown
Projection-Free Variance Reduction Methods for Stochastic Constrained
  Multi-Level Compositional Optimization
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
Wei Jiang
Sifan Yang
Wenhao Yang
Yibo Wang
Yuanyu Wan
Lijun Zhang
253
5
0
06 Jun 2024
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed
  Smoothness Conditions
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness ConditionsJournal of machine learning research (JMLR), 2023
Xuxing Chen
Tesi Xiao
Krishnakumar Balasubramanian
324
36
0
21 Jun 2023
Validation of Composite Systems by Discrepancy Propagation
Validation of Composite Systems by Discrepancy PropagationConference on Uncertainty in Artificial Intelligence (UAI), 2022
David Reeb
Kanil Patel
Karim Barsim
Martin Schiegg
S. Gerwinn
268
2
0
21 Oct 2022
Constrained Stochastic Nonconvex Optimization with State-dependent
  Markov Data
Constrained Stochastic Nonconvex Optimization with State-dependent Markov DataNeural Information Processing Systems (NeurIPS), 2022
Abhishek Roy
Krishnakumar Balasubramanian
Saeed Ghadimi
417
10
0
22 Jun 2022
A Single-Timescale Analysis For Stochastic Approximation With Multiple
  Coupled Sequences
A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled SequencesNeural Information Processing Systems (NeurIPS), 2022
Han Shen
Tianyi Chen
286
23
0
21 Jun 2022
1
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