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1805.10721
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Bernstein's inequalities for general Markov chains
28 May 2018
Bai Jiang
Qiang Sun
Jianqing Fan
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Papers citing
"Bernstein's inequalities for general Markov chains"
25 / 25 papers shown
Near-Optimal Clustering in Mixture of Markov Chains
Junghyun Lee
Yassir Jedra
Alexandre Proutière
Se-Young Yun
336
2
0
02 Jun 2025
Covariance estimation using Markov chain Monte Carlo
Yunbum Kook
Matthew Shunshi Zhang
207
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0
22 Oct 2024
Non-asymptotic Estimates for Markov Transition Matrices with Rigorous Error Bounds
De Huang
Xiangyuan Li
264
2
0
12 Aug 2024
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
Neural Information Processing Systems (NeurIPS), 2023
Ruida Zhou
Tao-Wen Liu
Min Cheng
D. Kalathil
P. R. Kumar
Chao Tian
409
41
0
17 Jul 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
International Conference on Machine Learning (ICML), 2023
Hang Wang
Sen Lin
Junshan Zhang
OffRL
OnRL
271
4
0
20 Jun 2023
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators
Tian-cheng Li
Fan Chen
Huajie Chen
Zaiwen Wen
263
4
0
19 Mar 2023
Rosenthal-type inequalities for linear statistics of Markov chains
Alain Durmus
Eric Moulines
A. Naumov
S. Samsonov
Marina Sheshukova
167
6
0
10 Mar 2023
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
Neural Information Processing Systems (NeurIPS), 2022
Fengzhuo Zhang
Boyi Liu
Kaixin Wang
Vincent Y. F. Tan
Zhuoran Yang
Zhaoran Wang
OffRL
LRM
326
14
0
20 Sep 2022
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
Neural Information Processing Systems (NeurIPS), 2022
Fan Chen
Junyu Zhang
Zaiwen Wen
OffRL
261
13
0
13 Jul 2022
Concentration analysis of multivariate elliptic diffusion processes
Cathrine Aeckerle-Willems
Claudia Strauch
Lukas Trottner
406
1
0
07 Jun 2022
High-dimensional Inference and FDR Control for Simulated Markov Random Fields
Haoyu Wei
Xiaoyu Lei
Yixin Han
Huiming Zhang
489
1
0
11 Feb 2022
Markov subsampling based Huber Criterion
Tieliang Gong
Yuxin Dong
Hong Chen
B. Dong
Chen Li
359
2
0
12 Dec 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
Neural Information Processing Systems (NeurIPS), 2021
Shahrzad Haddadan
Zhuang Yue
Cyrus Cousins
E. Upfal
163
8
0
14 Nov 2021
Three rates of convergence or separation via U-statistics in a dependent framework
Quentin Duchemin
Yohann De Castro
C. Lacour
230
1
0
24 Jun 2021
Adaptive Conformal Inference Under Distribution Shift
Neural Information Processing Systems (NeurIPS), 2021
Isaac Gibbs
Emmanuel Candès
687
377
0
01 Jun 2021
Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains
Quentin Duchemin
Yohann De Castro
C. Lacour
353
6
0
20 Nov 2020
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks
Electronic Journal of Statistics (EJS), 2020
Quentin Duchemin
Yohann De Castro
316
7
0
12 Jun 2020
Reliable Time Prediction in the Markov Stochastic Block Model
Quentin Duchemin
288
2
0
09 Apr 2020
Delay-Adaptive Learning in Generalized Linear Contextual Bandits
Mathematics of Operations Research (MOR), 2020
Jose H. Blanchet
Renyuan Xu
Zhengyuan Zhou
OffRL
199
8
0
11 Mar 2020
Optimal Chernoff and Hoeffding Bounds for Finite State Markov Chains
Vrettos Moulos
V. Anantharam
256
8
0
10 Jul 2019
Learning Markov models via low-rank optimization
Operational Research (OR), 2019
Ziwei Zhu
Xudong Li
Mengdi Wang
Anru R. Zhang
357
19
0
28 Jun 2019
Adaptive Huber Regression on Markov-dependent Data
Jianqing Fan
Yongyi Guo
Bai Jiang
183
15
0
18 Apr 2019
Bayesian Factor-adjusted Sparse Regression
Jianqing Fan
Bai Jiang
Qiang Sun
340
7
0
23 Mar 2019
Spectral thresholding for the estimation of Markov chain transition operators
Matthias Loffler
A. Picard
485
6
0
24 Aug 2018
Spectral State Compression of Markov Processes
Anru R. Zhang
Mengdi Wang
303
58
0
08 Feb 2018
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