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PAC-Bayesian theory for stochastic LTI systems
v1v2 (latest)

PAC-Bayesian theory for stochastic LTI systems

IEEE Conference on Decision and Control (CDC), 2021
23 March 2021
Deividas Eringis
J. Leth
Zheng-Hua Tan
Rafal Wisniewski
Alireza Fakhrizadeh Esfahani
Mihaly Petreczky
ArXiv (abs)PDFHTML

Papers citing "PAC-Bayesian theory for stochastic LTI systems"

6 / 6 papers shown
Empirical PAC-Bayes Bounds for Markov Chains
Empirical PAC-Bayes Bounds for Markov Chains
Vahe Karagulyan
Pierre Alquier
185
1
0
25 Sep 2025
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable
  RNNs
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNsAAAI Conference on Artificial Intelligence (AAAI), 2023
Deividas Eringis
J. Leth
Zheng-Hua Tan
Rafal Wisniewski
Mihaly Petreczky
226
5
0
15 Dec 2023
PAC-Bayesian bounds for learning LTI-ss systems with input from
  empirical loss
PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss
Deividas Eringis
J. Leth
Zheng-Hua Tan
R. Wisniewski
Mihaly Petreczky
268
4
0
29 Mar 2023
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant
  Stochastic State-Space Models
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models
Deividas Eringis
J. Leth
Zheng-Hua Tan
Rafal Wisniewski
Mihaly Petreczky
245
1
0
30 Dec 2022
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
722
272
0
21 Oct 2021
Explicit construction of the minimum error variance estimator for
  stochastic LTI state-space systems
Explicit construction of the minimum error variance estimator for stochastic LTI state-space systems
Deividas Eringis
J. Leth
Zheng-Hua Tan
Rafal Wisniewski
Mihaly Petreczky
224
1
0
06 Sep 2021
1
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