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Online learning with dynamics: A minimax perspective

Online learning with dynamics: A minimax perspective

Neural Information Processing Systems (NeurIPS), 2020
3 December 2020
Kush S. Bhatia
Karthik Sridharan
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Online learning with dynamics: A minimax perspective"

4 / 4 papers shown
Extragradient-Type Methods with $\mathcal{O} (1/k)$ Last-Iterate
  Convergence Rates for Co-Hypomonotone Inclusions
Extragradient-Type Methods with O(1/k)\mathcal{O} (1/k)O(1/k) Last-Iterate Convergence Rates for Co-Hypomonotone InclusionsJournal of Global Optimization (JGO), 2023
Quoc Tran-Dinh
397
6
0
08 Feb 2023
Bayesian Learning for Dynamic Inference
Bayesian Learning for Dynamic Inference
Aolin Xu
Peng Guan
178
3
0
30 Dec 2022
Online Convex Optimization with Unbounded Memory
Online Convex Optimization with Unbounded MemoryNeural Information Processing Systems (NeurIPS), 2022
Raunak Kumar
Sarah Dean
Robert D. Kleinberg
485
10
0
18 Oct 2022
Adversarial Tracking Control via Strongly Adaptive Online Learning with
  Memory
Adversarial Tracking Control via Strongly Adaptive Online Learning with MemoryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
277
17
0
02 Feb 2021
1
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