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Online covariance estimation for stochastic gradient descent under
  Markovian sampling

Online covariance estimation for stochastic gradient descent under Markovian sampling

3 August 2023
Abhishek Roy
Krishnakumar Balasubramanian
ArXivPDFHTML

Papers citing "Online covariance estimation for stochastic gradient descent under Markovian sampling"

8 / 8 papers shown
Title
Online Covariance Estimation in Nonsmooth Stochastic Approximation
L. Jiang
Abhishek Roy
Krishna Balasubramanian
Damek Davis
D. Drusvyatskiy
Sen Na
62
0
0
07 Feb 2025
Enhancing Stochastic Optimization for Statistical Efficiency Using
  ROOT-SGD with Diminishing Stepsize
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize
Tong Zhang
Chris Junchi Li
28
0
0
15 Jul 2024
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
R. Srikant
25
5
0
28 Jan 2024
Stochastic optimization with arbitrary recurrent data sampling
Stochastic optimization with arbitrary recurrent data sampling
William G. Powell
Hanbaek Lyu
21
0
0
15 Jan 2024
Fairness Uncertainty Quantification: How certain are you that the model
  is fair?
Fairness Uncertainty Quantification: How certain are you that the model is fair?
Abhishek Roy
P. Mohapatra
14
5
0
27 Apr 2023
Efficiency Ordering of Stochastic Gradient Descent
Efficiency Ordering of Stochastic Gradient Descent
Jie Hu
Vishwaraj Doshi
Do Young Eun
26
6
0
15 Sep 2022
Online Bootstrap Inference For Policy Evaluation in Reinforcement
  Learning
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning
Pratik Ramprasad
Yuantong Li
Zhuoran Yang
Zhaoran Wang
W. Sun
Guang Cheng
OffRL
47
26
0
08 Aug 2021
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
Yue Wu
Weitong Zhang
Pan Xu
Quanquan Gu
88
145
0
04 May 2020
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