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Concentration Inequalities for Statistical Inference

Concentration Inequalities for Statistical Inference

24 February 2025
Huiming Zhang
Songxi Chen
ArXivPDFHTML

Papers citing "Concentration Inequalities for Statistical Inference"

31 / 31 papers shown
Title
Statistical Inference in Reinforcement Learning: A Selective Survey
Statistical Inference in Reinforcement Learning: A Selective Survey
Chengchun Shi
OffRL
67
0
0
22 Feb 2025
Learning Dynamical Systems by Leveraging Data from Similar Systems
Learning Dynamical Systems by Leveraging Data from Similar Systems
Lei Xin
Lintao Ye
G. Chiu
S. Sundaram
41
10
0
20 Jan 2025
Enhancing Semi-Supervised Learning via Representative and Diverse Sample
  Selection
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
Qian Shao
Jiangrui Kang
Qiyuan Chen
Zepeng Li
Hongxia Xu
Yiwen Cao
Jiajuan Liang
Jian Wu
28
0
0
18 Sep 2024
Sampling effects on Lasso estimation of drift functions in
  high-dimensional diffusion processes
Sampling effects on Lasso estimation of drift functions in high-dimensional diffusion processes
Chiara Amorino
Francisco Pina
M. Podolskij
23
1
0
16 Aug 2024
Matching-Based Policy Learning
Matching-Based Policy Learning
Xuqiao Li
Ying Yan
OffRL
24
0
0
11 Jul 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural
  Networks
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu
L. Dadi
V. Cevher
79
2
0
29 Apr 2024
Zero-Inflated Bandits
Zero-Inflated Bandits
Haoyu Wei
Runzhe Wan
Lei Shi
Rui Song
42
0
0
25 Dec 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean
  Estimation and Linear Regression
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
Ilias Diakonikolas
Daniel M. Kane
Ankit Pensia
Thanasis Pittas
27
2
0
04 Dec 2023
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri
Donghwan Lee
Hamed Hassani
Edgar Dobriban
MLT
40
19
0
11 Oct 2023
Experimental Designs for Heteroskedastic Variance
Experimental Designs for Heteroskedastic Variance
Justin Weltz
Tanner Fiez
Alex Volfovsky
Eric B. Laber
Blake Mason
Houssam Nassif
Lalit P. Jain
24
3
0
06 Oct 2023
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
Huiming Zhang
Haoyu Wei
Guang Cheng
24
1
0
13 Mar 2023
Multiplier Bootstrap-based Exploration
Multiplier Bootstrap-based Exploration
Runzhe Wan
Haoyu Wei
B. Kveton
R. Song
16
2
0
03 Feb 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
Shixiong Wang
Haowei Wang
Xinke Li
Jean Honorio
OOD
65
1
0
31 Jan 2023
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs
Fang Xie
Lihu Xu
Qiuran Yao
Huiming Zhang
11
0
0
28 Dec 2022
IPProtect: protecting the intellectual property of visual datasets
  during data valuation
IPProtect: protecting the intellectual property of visual datasets during data valuation
Gursimran Singh
Chendi Wang
Ahnaf Tazwar
Lanjun Wang
Yong Zhang
14
0
0
22 Dec 2022
Distributional Robustness Bounds Generalization Errors
Distributional Robustness Bounds Generalization Errors
Shixiong Wang
Haowei Wang
OOD
27
4
0
20 Dec 2022
Optimization on Manifolds via Graph Gaussian Processes
Optimization on Manifolds via Graph Gaussian Processes
Hwanwoo Kim
D. Sanz-Alonso
Ruiyi Yang
32
2
0
20 Oct 2022
Concentration inequalities of MLE and robust MLE
Concentration inequalities of MLE and robust MLE
Xiaowei Yang
Xinqiao Liu
Haoyu Wei
14
1
0
17 Oct 2022
Learning Algorithm Generalization Error Bounds via Auxiliary
  Distributions
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Gholamali Aminian
Saeed Masiha
Laura Toni
M. Rodrigues
17
7
0
02 Oct 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a
  Polynomial Net Study
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Yongtao Wu
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
28
10
0
16 Sep 2022
Asymptotic theory in network models with covariates and a growing number
  of node parameters
Asymptotic theory in network models with covariates and a growing number of node parameters
Q. Wang
Yuan Zhang
T. Yan
26
1
0
20 Jul 2022
Distributed Differential Privacy in Multi-Armed Bandits
Distributed Differential Privacy in Multi-Armed Bandits
Sayak Ray Chowdhury
Xingyu Zhou
25
12
0
12 Jun 2022
High-dimensional Inference and FDR Control for Simulated Markov Random
  Fields
High-dimensional Inference and FDR Control for Simulated Markov Random Fields
Haoyu Wei
Xiaoyu Lei
Yixin Han
Huiming Zhang
17
0
0
11 Feb 2022
Characterizing and Understanding the Generalization Error of Transfer
  Learning with Gibbs Algorithm
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
Yuheng Bu
Gholamali Aminian
Laura Toni
Miguel R. D. Rodrigues
G. Wornell
9
14
0
02 Nov 2021
Asymptotic in a class of network models with an increasing sub-Gamma
  degree sequence
Asymptotic in a class of network models with an increasing sub-Gamma degree sequence
Jing Luo
Haoyu Wei
Xiaoyu Lei
J. Guo
20
0
0
02 Nov 2021
Heterogeneous Overdispersed Count Data Regressions via Double Penalized
  Estimations
Heterogeneous Overdispersed Count Data Regressions via Double Penalized Estimations
Shaomin Li
Haoyu Wei
Xiaoyu Lei
29
5
0
07 Oct 2021
Directional FDR Control for Sub-Gaussian Sparse GLMs
Directional FDR Control for Sub-Gaussian Sparse GLMs
Chang Cui
Jinzhu Jia
Yijun Xiao
Huiming Zhang
13
4
0
02 May 2021
Sharper Sub-Weibull Concentrations
Sharper Sub-Weibull Concentrations
Huiming Zhang
Haoyu Wei
28
17
0
04 Feb 2021
Non-asymptotic Optimal Prediction Error for Growing-dimensional
  Partially Functional Linear Models
Non-asymptotic Optimal Prediction Error for Growing-dimensional Partially Functional Linear Models
Huiming Zhang
Xiaoyu Lei
13
1
0
10 Sep 2020
Sparse Density Estimation with Measurement Errors
Sparse Density Estimation with Measurement Errors
Xiaowei Yang
Huiming Zhang
Haoyu Wei
Shouzheng Zhang
18
3
0
14 Nov 2019
Concentration of quadratic forms under a Bernstein moment assumption
Concentration of quadratic forms under a Bernstein moment assumption
Pierre C. Bellec
31
21
0
25 Jan 2019
1