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HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
13 February 2018
Weijie J. Su
Yuancheng Zhu
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Papers citing
"HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation"
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Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Syamantak Kumar
Shourya Pandey
Purnamrita Sarkar
257
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14 Jun 2025
Statistical Inference with Stochastic Gradient Methods under
ϕ
ϕ
ϕ
-mixing Data
Ruiqi Liu
Xinyu Chen
Zuofeng Shang
FedML
431
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0
24 Feb 2023
Semiparametric Regression for Spatial Data via Deep Learning
Spatial Statistics (Spat. Stat.), 2023
Kexuan Li
Jun Zhu
A. Ives
V. Radeloff
Fangfang Wang
353
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0
10 Jan 2023
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent
Xinyu Chen
Zehua Lai
He Li
Yichen Zhang
Zhihong Liu
Yichen Zhang
297
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0
30 Dec 2022
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning
Yiling Luo
X. Huo
Y. Mei
179
3
0
02 Dec 2022
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors
Computer Methods in Applied Mechanics and Engineering (CMAME), 2022
Jianlong Wu
Georgios Kissas
P. Perdikaris
BDL
UQCV
357
52
0
06 Mar 2022
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Xiang Li
Wenhao Yang
Jiadong Liang
Zhihua Zhang
Michael I. Jordan
457
26
0
29 Dec 2021
Statistical Estimation and Inference via Local SGD in Federated Learning
Xiang Li
Jiadong Liang
Xiangyu Chang
Zhihua Zhang
FedML
192
6
0
03 Sep 2021
Bootstrapping the error of Oja's algorithm
Neural Information Processing Systems (NeurIPS), 2021
Robert Lunde
Purnamrita Sarkar
Rachel A. Ward
396
12
0
28 Jun 2021
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
AAAI Conference on Artificial Intelligence (AAAI), 2021
S. Lee
Yuan Liao
M. Seo
Youngki Shin
339
41
0
06 Jun 2021
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints
Journal of Multivariate Analysis (J. Multivar. Anal.), 2021
Ruiqi Liu
Mingao Yuan
Zuofeng Shang
335
6
0
21 May 2021
Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods
Journal of the American Statistical Association (JASA), 2021
Xi Chen
Zehua Lai
He Li
Yichen Zhang
462
24
0
05 Feb 2021
Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum
Jerry Chee
Ping Li
167
14
0
27 Aug 2020
Online Regularization towards Always-Valid High-Dimensional Dynamic Pricing
ChiHua Wang
Zhanyu Wang
W. Sun
Guang Cheng
368
12
0
05 Jul 2020
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Neural Information Processing Systems (NeurIPS), 2020
Lu Yu
Krishnakumar Balasubramanian
S. Volgushev
Murat A. Erdogdu
430
62
0
14 Jun 2020
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
Annual Conference Computational Learning Theory (COLT), 2020
Wenlong Mou
C. J. Li
Martin J. Wainwright
Peter L. Bartlett
Sai Li
245
90
0
09 Apr 2020
Error Estimation for Sketched SVD via the Bootstrap
International Conference on Machine Learning (ICML), 2020
Miles E. Lopes
N. Benjamin Erichson
Michael W. Mahoney
229
12
0
10 Mar 2020
Online Covariance Matrix Estimation in Stochastic Gradient Descent
Journal of the American Statistical Association (JASA), 2020
Wanrong Zhu
Xi Chen
Wei Biao Wu
429
77
0
10 Feb 2020
On Constructing Confidence Region for Model Parameters in Stochastic Gradient Descent via Batch Means
Online World Conference on Soft Computing in Industrial Applications (WSCIA), 2019
Yi Zhu
Jing Dong
272
12
0
04 Nov 2019
A generalization of regularized dual averaging and its dynamics
Shih-Kang Chao
Guang Cheng
248
18
0
22 Sep 2019
First-order Newton-type Estimator for Distributed Estimation and Inference
Xi Chen
Weidong Liu
Yichen Zhang
368
63
0
28 Nov 2018
Approximate Newton-based statistical inference using only stochastic gradients
Tianyang Li
Anastasios Kyrillidis
Liu Liu
Constantine Caramanis
233
7
0
23 May 2018
Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains
Hadrien Hendrikx
Alain Durmus
Francis R. Bach
304
177
0
20 Jul 2017
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