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Online Algorithms For Parameter Mean And Variance Estimation In Dynamic
  Regression Models

Online Algorithms For Parameter Mean And Variance Estimation In Dynamic Regression Models

18 May 2016
C. Gomez-Uribe
ArXiv (abs)PDFHTML

Papers citing "Online Algorithms For Parameter Mean And Variance Estimation In Dynamic Regression Models"

4 / 4 papers shown
Partial Likelihood Thompson Sampling
Partial Likelihood Thompson SamplingConference on Uncertainty in Artificial Intelligence (UAI), 2022
Han Wu
Stefan Wager
LM&MA
245
4
0
02 Mar 2022
On Thompson Sampling with Langevin Algorithms
On Thompson Sampling with Langevin AlgorithmsInternational Conference on Machine Learning (ICML), 2020
Eric Mazumdar
Aldo Pacchiano
Yi-An Ma
Peter L. Bartlett
Sai Li
327
12
0
23 Feb 2020
The decoupled extended Kalman filter for dynamic exponential-family
  factorization models
The decoupled extended Kalman filter for dynamic exponential-family factorization modelsJournal of machine learning research (JMLR), 2018
C. Gomez-Uribe
Brian Karrer
265
7
0
26 Jun 2018
Ensemble Sampling
Ensemble Sampling
Xiuyuan Lu
Benjamin Van Roy
382
124
0
20 May 2017
1
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