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Learning Markov models via low-rank optimization
v1v2 (latest)

Learning Markov models via low-rank optimization

28 June 2019
Ziwei Zhu
Xudong Li
Mengdi Wang
Anru R. Zhang
ArXiv (abs)PDFHTML

Papers citing "Learning Markov models via low-rank optimization"

5 / 5 papers shown
Title
ULTRA-MC: A Unified Approach to Learning Mixtures of Markov Chains via
  Hitting Times
ULTRA-MC: A Unified Approach to Learning Mixtures of Markov Chains via Hitting Times
Fabian Spaeh
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
56
1
0
23 May 2024
Singular value distribution of dense random matrices with block
  Markovian dependence
Singular value distribution of dense random matrices with block Markovian dependence
J. Sanders
Alexander Van Werde
108
4
0
28 Apr 2022
Learning Good State and Action Representations via Tensor Decomposition
Learning Good State and Action Representations via Tensor Decomposition
Chengzhuo Ni
Yaqi Duan
M. Dahleh
Anru R. Zhang
Mengdi Wang
84
7
0
03 May 2021
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Yuchen Zhou
Anru R. Zhang
Lili Zheng
Yazhen Wang
105
22
0
06 Oct 2020
Spectral thresholding for the estimation of Markov chain transition
  operators
Spectral thresholding for the estimation of Markov chain transition operators
Matthias Loffler
A. Picard
74
6
0
24 Aug 2018
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