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Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
6 June 2021
S. Lee
Yuan Liao
M. Seo
Youngki Shin
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Papers citing
"Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling"
18 / 18 papers shown
Title
Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA
Syamantak Kumar
Shourya Pandey
Purnamrita Sarkar
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14 Jun 2025
Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling
Xinchen Du
Wanrong Zhu
Wei Biao Wu
Sen Na
OffRL
20
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23 May 2025
Statistical Inference for Online Algorithms
Selina Carter
Arun K Kuchibhotla
60
1
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22 May 2025
Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation
Chuhan Xie
Kaicheng Jin
Jiadong Liang
Zhihua Zhang
47
0
0
19 Oct 2024
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize
Tong Zhang
Chris Junchi Li
76
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0
15 Jul 2024
Online robust estimation and bootstrap inference for function-on-scalar regression
Guanghui Cheng
Wenjuan Hu
Ruitao Lin
Chen Wang
21
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0
23 May 2024
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization
Wanrong Zhu
Zhipeng Lou
Ziyang Wei
Wei Biao Wu
85
3
0
17 Jan 2024
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference
D. Huo
Yudong Chen
Qiaomin Xie
64
4
0
18 Dec 2023
SGMM: Stochastic Approximation to Generalized Method of Moments
Xiaohong Chen
S. Lee
Yuan Liao
M. Seo
Youngki Shin
Myunghyun Song
35
6
0
25 Aug 2023
Weighted Averaged Stochastic Gradient Descent: Asymptotic Normality and Optimality
Ziyang Wei
Wanrong Zhu
Wei Biao Wu
130
5
0
13 Jul 2023
Statistical Inference with Stochastic Gradient Methods under
φ
φ
φ
-mixing Data
Ruiqi Liu
Xinyu Chen
Zuofeng Shang
FedML
84
6
0
24 Feb 2023
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Bhavya Agrawalla
Krishnakumar Balasubramanian
Promit Ghosal
107
2
0
20 Feb 2023
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent
Xinyu Chen
Zehua Lai
He Li
Yichen Zhang
80
4
0
30 Dec 2022
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning
Yiling Luo
X. Huo
Y. Mei
62
3
0
02 Dec 2022
Fast Inference for Quantile Regression with Tens of Millions of Observations
S. Lee
Yuan Liao
M. Seo
Youngki Shin
107
6
0
29 Sep 2022
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning
Xiang Li
Wenhao Yang
Jiadong Liang
Zhihua Zhang
Michael I. Jordan
135
17
0
29 Dec 2021
Statistical Estimation and Inference via Local SGD in Federated Learning
Xiang Li
Jiadong Liang
Xiangyu Chang
Zhihua Zhang
FedML
58
4
0
03 Sep 2021
Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods
Xi Chen
Zehua Lai
He Li
Yichen Zhang
102
16
0
05 Feb 2021
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