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PAC-Bayesian Learning of Optimization Algorithms
v1v2 (latest)

PAC-Bayesian Learning of Optimization Algorithms

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
20 October 2022
Michael Sucker
Peter Ochs
ArXiv (abs)PDFHTML

Papers citing "PAC-Bayesian Learning of Optimization Algorithms"

4 / 4 papers shown
Deep Unfolding: Recent Developments, Theory, and Design Guidelines
Deep Unfolding: Recent Developments, Theory, and Design Guidelines
Nir Shlezinger
Santiago Segarra
Yi Zhang
Dvir Avrahami
Zohar Davidov
T. Routtenberg
Yonina C. Eldar
268
2
0
03 Dec 2025
A Generalization Result for Convergence in Learning-to-Optimize
A Generalization Result for Convergence in Learning-to-Optimize
Michael Sucker
Peter Ochs
469
1
0
10 Oct 2024
From Learning to Optimize to Learning Optimization Algorithms
From Learning to Optimize to Learning Optimization Algorithms
Camille Castera
Peter Ochs
518
1
0
28 May 2024
Streaming PAC-Bayes Gaussian process regression with a performance
  guarantee for online decision making
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making
Tianyu Liu
Jie Lu
Zheng Yan
Guangquan Zhang
426
0
0
16 Oct 2022
1
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