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Concentration Inequalities for Statistical Inference

24 February 2025

Papers citing "Concentration Inequalities for Statistical Inference"

49 / 49 papers shown

Title
Statistical Inference in Reinforcement Learning: A Selective Survey Chengchun Shi OffRL 348 3 0 22 Feb 2025
Learning Dynamical Systems by Leveraging Data from Similar Systems Lei Xin Lintao Ye G. Chiu S. Sundaram 126 11 0 20 Jan 2025
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 75 1 0 18 Sep 2024
Sampling effects on Lasso estimation of drift functions in high-dimensional diffusion processes Chiara Amorino Francisco Pina M. Podolskij 129 1 0 16 Aug 2024
Matching-Based Policy Learning Xuqiao Li Ying Yan OffRL 65 0 0 11 Jul 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks Fanghui Liu L. Dadi Volkan Cevher 187 5 0 29 Apr 2024
Zero-Inflated Bandits Haoyu Wei Runzhe Wan Lei Shi Rui Song 158 1 0 25 Dec 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression Ilias Diakonikolas Daniel M. Kane Ankit Pensia Thanasis Pittas 131 2 0 04 Dec 2023
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Guang Cheng MLT 146 24 0 11 Oct 2023
Experimental Designs for Heteroskedastic Variance Justin Weltz Tanner Fiez Alex Volfovsky Eric B. Laber Blake Mason Houssam Nassif Lalit P. Jain 120 6 0 06 Oct 2023
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm Huiming Zhang Haoyu Wei Guang Cheng 111 1 0 13 Mar 2023
Multiplier Bootstrap-based Exploration Runzhe Wan Haoyu Wei Branislav Kveton R. Song 66 3 0 03 Feb 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity Shixiong Wang Haowei Wang Xinke Li Jean Honorio OOD 164 3 0 31 Jan 2023
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs Fang Xie Lihu Xu Qiuran Yao Huiming Zhang 67 0 0 28 Dec 2022
IPProtect: protecting the intellectual property of visual datasets during data valuation Gursimran Singh Chendi Wang Ahnaf Tazwar Lanjun Wang Yong Zhang 90 1 0 22 Dec 2022
Distributional Robustness Bounds Generalization Errors Shixiong Wang Haowei Wang OOD 132 4 0 20 Dec 2022
Optimization on Manifolds via Graph Gaussian Processes Hwanwoo Kim D. Sanz-Alonso Ruiyi Yang 165 6 0 20 Oct 2022
Concentration inequalities of MLE and robust MLE Xiaowei Yang Xinqiao Liu Haoyu Wei 90 2 0 17 Oct 2022
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions Gholamali Aminian Saeed Masiha Laura Toni M. Rodrigues 104 9 0 02 Oct 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study Yongtao Wu Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Volkan Cevher 97 13 0 16 Sep 2022
Asymptotic theory in network models with covariates and a growing number of node parameters Q. Wang Yuan Zhang T. Yan 95 1 0 20 Jul 2022
Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury Xingyu Zhou 116 13 0 12 Jun 2022
High-dimensional Inference and FDR Control for Simulated Markov Random Fields Haoyu Wei Xiaoyu Lei Yixin Han Huiming Zhang 182 0 0 11 Feb 2022
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm Yuheng Bu Gholamali Aminian Laura Toni Miguel R. D. Rodrigues G. Wornell 92 16 0 02 Nov 2021
Asymptotic in a class of network models with an increasing sub-Gamma degree sequence Jing Luo Haoyu Wei Xiaoyu Lei J. Guo 139 0 0 02 Nov 2021
Heterogeneous Overdispersed Count Data Regressions via Double Penalized Estimations Shaomin Li Haoyu Wei Xiaoyu Lei 96 7 0 07 Oct 2021
Directional FDR Control for Sub-Gaussian Sparse GLMs Chang Cui Jinzhu Jia Yijun Xiao Huiming Zhang 95 4 0 02 May 2021
Sharper Sub-Weibull Concentrations Huiming Zhang Haoyu Wei 141 21 0 04 Feb 2021
Two-sample Test using Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 155 21 0 22 Oct 2020
Non-asymptotic Optimal Prediction Error for Growing-dimensional Partially Functional Linear Models Huiming Zhang Xiaoyu Lei 112 1 0 10 Sep 2020
Weighted Lasso Estimates for Sparse Logistic Regression: Non-asymptotic Properties with Measurement Error Huamei Huang Yujing Gao Huiming Zhang Yangqiu Song 81 14 0 11 Jun 2020
Asymptotic Theory for Differentially Private Generalized $β$ -models with Parameters Increasing Yifan Fan Huiming Zhang T. Yan FedML 73 14 0 28 Feb 2020
Sparse Density Estimation with Measurement Errors Xiaowei Yang Huiming Zhang Haoyu Wei Shouzheng Zhang 145 3 0 14 Nov 2019
Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions M. Vladimirova Stéphane Girard Hien Nguyen Julyan Arbel 145 94 0 13 May 2019
Concentration of quadratic forms under a Bernstein moment assumption Pierre C. Bellec 104 21 0 25 Jan 2019
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression Arun K. Kuchibhotla Abhishek Chakrabortty 124 112 0 08 Apr 2018
Hoeffding's lemma for Markov Chains and its applications to statistical learning Jianqing Fan Bai Jiang Qiang Sun 101 28 0 01 Feb 2018
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signals Detection Huiming Zhang Jinzhu Jia 264 34 0 09 Dec 2017
The Bennett-Orlicz norm J. Wellner 67 17 0 06 Mar 2017
Linear Hypothesis Testing in Dense High-Dimensional Linear Models Yinchu Zhu Jelena Bradic 257 85 0 10 Oct 2016
Log-concavity and strong log-concavity: a review Adrien Saumard J. Wellner 211 288 0 23 Apr 2014
Oracle inequalities for the lasso in the Cox model Jian Huang Tingni Sun Z. Ying Yibin Yu Cun-Hui Zhang 168 126 0 20 Jun 2013
On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA F. Bunea Luo Xiao 900 93 0 21 Dec 2012
Concentration inequalities for order statistics S. Boucheron Maud Thomas 209 82 0 31 Jul 2012
Non-asymptotic Oracle Inequalities for the High-Dimensional Cox Regression via Lasso S. Kong B. Nan 196 57 0 09 Apr 2012
A two-sample test for high-dimensional data with applications to gene-set testing Songxi Chen Yingli Qin 149 575 0 24 Feb 2010
Kullback-Leibler aggregation and misspecified generalized linear models Philippe Rigollet FedML 319 84 0 16 Nov 2009
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity Sham Kakade Ohad Shamir Karthik Sindharan Ambuj Tewari 330 77 0 31 Oct 2009
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 689 2,541 0 07 Jan 2008