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Bernstein's inequalities for general Markov chains
v1v2v3 (latest)

Bernstein's inequalities for general Markov chains

28 May 2018
Bai Jiang
Qiang Sun
Jianqing Fan
ArXiv (abs)PDFHTML

Papers citing "Bernstein's inequalities for general Markov chains"

17 / 17 papers shown
Title
Near-Optimal Clustering in Mixture of Markov Chains
Near-Optimal Clustering in Mixture of Markov Chains
Junghyun Lee
Yassir Jedra
Alexandre Proutière
Se-Young Yun
48
0
0
02 Jun 2025
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
Hang Wang
Sen Lin
Junshan Zhang
OffRLOnRL
79
3
0
20 Jun 2023
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators
Tian-cheng Li
Fan Chen
Huajie Chen
Zaiwen Wen
45
4
0
19 Mar 2023
Relational Reasoning via Set Transformers: Provable Efficiency and
  Applications to MARL
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
Fengzhuo Zhang
Boyi Liu
Kaixin Wang
Vincent Y. F. Tan
Zhuoran Yang
Zhaoran Wang
OffRLLRM
94
10
0
20 Sep 2022
Concentration analysis of multivariate elliptic diffusion processes
Concentration analysis of multivariate elliptic diffusion processes
Cathrine Aeckerle-Willems
Claudia Strauch
Lukas Trottner
96
1
0
07 Jun 2022
Markov subsampling based Huber Criterion
Markov subsampling based Huber Criterion
Tieliang Gong
Yuxin Dong
Hong Chen
B. Dong
Chen Li
55
2
0
12 Dec 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with
  Weak Mixing Time Bounds
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
Shahrzad Haddadan
Zhuang Yue
Cyrus Cousins
E. Upfal
41
7
0
14 Nov 2021
Three rates of convergence or separation via U-statistics in a dependent
  framework
Three rates of convergence or separation via U-statistics in a dependent framework
Quentin Duchemin
Yohann De Castro
C. Lacour
26
0
0
24 Jun 2021
Adaptive Conformal Inference Under Distribution Shift
Adaptive Conformal Inference Under Distribution Shift
Isaac Gibbs
Emmanuel Candès
219
252
0
01 Jun 2021
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal
  Dynamic Networks
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks
Quentin Duchemin
Yohann De Castro
61
7
0
12 Jun 2020
Reliable Time Prediction in the Markov Stochastic Block Model
Reliable Time Prediction in the Markov Stochastic Block Model
Quentin Duchemin
36
2
0
09 Apr 2020
Delay-Adaptive Learning in Generalized Linear Contextual Bandits
Delay-Adaptive Learning in Generalized Linear Contextual Bandits
Jose H. Blanchet
Renyuan Xu
Zhengyuan Zhou
OffRL
30
6
0
11 Mar 2020
Optimal Chernoff and Hoeffding Bounds for Finite State Markov Chains
Optimal Chernoff and Hoeffding Bounds for Finite State Markov Chains
Vrettos Moulos
V. Anantharam
28
7
0
10 Jul 2019
Learning Markov models via low-rank optimization
Learning Markov models via low-rank optimization
Ziwei Zhu
Xudong Li
Mengdi Wang
Anru R. Zhang
81
17
0
28 Jun 2019
Adaptive Huber Regression on Markov-dependent Data
Adaptive Huber Regression on Markov-dependent Data
Jianqing Fan
Yongyi Guo
Bai Jiang
75
13
0
18 Apr 2019
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
Spectral State Compression of Markov Processes
Spectral State Compression of Markov Processes
Anru R. Zhang
Mengdi Wang
92
49
0
08 Feb 2018
1