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Robust guarantees for learning an autoregressive filter

Robust guarantees for learning an autoregressive filter

International Conference on Algorithmic Learning Theory (ALT), 2019
23 May 2019
Holden Lee
Cyril Zhang
ArXiv (abs)PDFHTML

Papers citing "Robust guarantees for learning an autoregressive filter"

4 / 4 papers shown
Deep inference of latent dynamics with spatio-temporal super-resolution
  using selective backpropagation through time
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through timeNeural Information Processing Systems (NeurIPS), 2021
Feng Zhu
Andrew R. Sedler
Harrison A. Grier
Nauman Ahad
Mark A. Davenport
Matthew T. Kaufman
Andrea Giovannucci
C. Pandarinath
277
11
0
29 Oct 2021
Logarithmic Regret Bound in Partially Observable Linear Dynamical
  Systems
Logarithmic Regret Bound in Partially Observable Linear Dynamical SystemsNeural Information Processing Systems (NeurIPS), 2020
Sahin Lale
Kamyar Azizzadenesheli
B. Hassibi
Anima Anandkumar
475
102
0
25 Mar 2020
Adaptive Control and Regret Minimization in Linear Quadratic Gaussian
  (LQG) Setting
Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting
Sahin Lale
Kamyar Azizzadenesheli
B. Hassibi
Anima Anandkumar
300
20
0
12 Mar 2020
No-Regret Prediction in Marginally Stable Systems
No-Regret Prediction in Marginally Stable SystemsAnnual Conference Computational Learning Theory (COLT), 2020
Udaya Ghai
Holden Lee
Karan Singh
Cyril Zhang
Yi Zhang
354
24
0
06 Feb 2020
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