Hoeffding's lemma for Markov Chains and its applications to statistical
learning

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Hoeffding's lemma for Markov Chains and its applications to statistical learning

1 February 2018

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Papers citing "Hoeffding's lemma for Markov Chains and its applications to statistical learning"

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Title
Concentration Inequalities for Statistical Inference Huiming Zhang Songxi Chen 205 63 0 24 Feb 2025
Markov subsampling based Huber Criterion Tieliang Gong Yuxin Dong Hong Chen B. Dong Chen Li 55 2 0 12 Dec 2021
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment Tieliang Gong Yuxin Dong Hong Chen B. Dong Wei Feng Chen Li 21 1 0 09 Dec 2021
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds Shahrzad Haddadan Zhuang Yue Cyrus Cousins E. Upfal 38 7 0 14 Nov 2021
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
On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning Problems in High-dimension Udari Madhushani Biswadip Dey Naomi Ehrich Leonard Amit Chakraborty OffRL 32 1 0 11 Nov 2020
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks Quentin Duchemin Yohann De Castro 61 7 0 12 Jun 2020
Adaptive Huber Regression on Markov-dependent Data Jianqing Fan Yongyi Guo Bai Jiang 73 13 0 18 Apr 2019
Exponential inequalities for nonstationary Markov Chains Pierre Alquier P. Doukhan Xiequan Fan 68 10 0 27 Aug 2018
Bernstein's inequalities for general Markov chains Bai Jiang Qiang Sun Jianqing Fan 66 45 0 28 May 2018