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A Scalable Bootstrap for Massive Data

21 December 2011

Papers citing "A Scalable Bootstrap for Massive Data"

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Title
Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Syamantak Kumar Shourya Pandey Purnamrita Sarkar 17 0 0 14 Jun 2025
Statistically Optimal Uncertainty Quantification for Expensive Black-Box Models Shengyi He Henry Lam 61 0 0 12 Aug 2024
Building a stable classifier with the inflated argmax Jake A. Soloff Rina Foygel Barber Rebecca Willett 334 3 0 22 May 2024
A model-free subdata selection method for classification Rakhi Singh 69 0 0 29 Apr 2024
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques Xuetong Li Yuan Gao Hong Chang Danyang Huang Yingying Ma ... Ke Xu Jing Zhou Xuening Zhu Yingqiu Zhu Hansheng Wang 68 9 0 17 Mar 2024
Resampling methods for private statistical inference Karan N. Chadha John C. Duchi Rohith Kuditipudi 73 2 0 11 Feb 2024
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) Xingyuan Zhao Fang Liu 55 0 0 20 Dec 2023
Distributed Learning of Mixtures of Experts Faicel Chamroukhi Nhat-Thien Pham FedML 17 0 0 15 Dec 2023
Updatable Estimation in Generalized Linear Models with Missing Response Xianhua Zhang Lu lin Qihua Wang 23 0 0 07 Oct 2023
Generalised likelihood profiles for models with intractable likelihoods D. Warne Oliver J. Maclaren E. Carr Matthew J. Simpson Christopher C. Drovandi 83 8 0 18 May 2023
On the asymptotic properties of a bagging estimator with a massive dataset Yuan Gao Riquan Zhang Hansheng Wang 42 1 0 13 Apr 2023
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 74 43 0 13 Apr 2023
A Fast Bootstrap Algorithm for Causal Inference with Large Data Matthew Kosko Lung-Chuang Wang Michele Santacatterina CML 31 5 0 06 Feb 2023
Bagging Provides Assumption-free Stability Jake A. Soloff Rina Foygel Barber Rebecca Willett 69 11 0 30 Jan 2023
Weighted Distributed Estimation under Heterogeneity J. Gu Songxi Chen 27 1 0 14 Sep 2022
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data Emadaldin Mozafari-Majd V. Koivunen 67 4 0 17 Aug 2022
CEDAR: Communication Efficient Distributed Analysis for Regressions Changgee Chang Zhiqi Bu Q. Long 41 7 0 01 Jul 2022
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling Jing Wang Jiahui Zou Haiying Wang 73 18 0 17 May 2022
Resampling-free bootstrap inference for quantiles M. Schultzberg Sebastian Ankargren 18 1 0 22 Feb 2022
A Cheap Bootstrap Method for Fast Inference Henry Lam 97 11 0 31 Jan 2022
Scalable subsampling: computation, aggregation and inference D. Politis 30 8 0 13 Dec 2021
Higher-Order Coverage Errors of Batching Methods via Edgeworth Expansions on $t$ -Statistics Shengyi He Henry Lam 20 3 0 12 Nov 2021
Privacy-Preserving Inference on the Ratio of Two Gaussians Using Sums Jingang Miao Yiming Paul Li 17 0 0 28 Oct 2021
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy Christian Covington Xi He James Honaker Gautam Kamath 99 26 0 27 Oct 2021
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference Mao Ye Qiang Liu 36 1 0 17 Oct 2021
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint Rui Pan Yingqiu Zhu Baishan Guo Xuening Zhu Hansheng Wang 38 5 0 03 Oct 2021
GuideBoot: Guided Bootstrap for Deep Contextual Bandits Feiyang Pan Haoming Li Xiang Ao Wei Wang Yanrong Kang Ao Tan Qing He 28 0 0 18 Jul 2021
Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation AI T.TONYC EI Hongjiw 56 7 0 01 Jul 2021
Bias, Consistency, and Alternative Perspectives of the Infinitesimal Jackknife Wei Peng L. Mentch L. Stefanski UQCV 33 4 0 10 Jun 2021
Federated Estimation of Causal Effects from Observational Data Thanh Vinh Vo T. Hoang Young Lee Tze-Yun Leong FedML CML 70 13 0 31 May 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 75 10 0 19 Feb 2021
Divide-and-Conquer MCMC for Multivariate Binary Data Suchit Mehrotra H. Brantley P. Onglao Patricia Bata R. Romero Jacob Westman L. Bangerter A. Maity 26 2 0 17 Feb 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference Botao Hao X. Ji Yaqi Duan Hao Lu Csaba Szepesvári Mengdi Wang OffRL 75 40 0 06 Feb 2021
Computational Causal Inference Jeffrey Wong CML AI4CE 28 11 0 21 Jul 2020
Distributed ARIMA Models for Ultra-long Time Series Xiaoqian Wang Yanfei Kang Rob J. Hyndman Feng Li AI4TS 118 53 0 19 Jul 2020
Hyperparameter Selection for Subsampling Bootstraps Yingying Ma Hansheng Wang 8 0 0 02 Jun 2020
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data Jun Yu Haiying Wang Mingyao Ai Huiming Zhang 63 116 0 21 May 2020
On the Theoretical Properties of the Network Jackknife Qiaohui Lin Robert Lunde Purnamrita Sarkar 39 10 0 19 Apr 2020
Statistical inference in massive datasets by empirical likelihood Xuejun Ma Shaochen Wang Wang Zhou FedML 21 6 0 18 Apr 2020
Distributed function estimation: adaptation using minimal communication Botond Szabó Harry Van Zanten 66 13 0 28 Mar 2020
Error Estimation for Sketched SVD via the Bootstrap Miles E. Lopes N. Benjamin Erichson Michael W. Mahoney 61 11 0 10 Mar 2020
Simultaneous Inference for Massive Data: Distributed Bootstrap Yang Yu Shih-Kang Chao Guang Cheng FedML 48 15 0 19 Feb 2020
Quasi-Newton Trust Region Policy Optimization Devesh K. Jha A. Raghunathan Diego Romeres 55 9 0 26 Dec 2019
Random projections: data perturbation for classification problems T. Cannings 58 20 0 25 Nov 2019
$DC^2$ : A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering Ke Alexander Wang Xinran Bian Pan Liu Donghui Yan 120 4 0 16 Nov 2019
Least Squares Approximation for a Distributed System Xuening Zhu Feng Li Hansheng Wang 48 56 0 14 Aug 2019
Population Predictive Checks Rajesh Ranganath David M. Blei Rajesh Ranganath 80 13 0 02 Aug 2019
Learning over inherently distributed data Donghui Yan Ying Xu FedML 125 2 0 30 Jul 2019
Communication-Efficient Accurate Statistical Estimation Jianqing Fan Yongyi Guo Kaizheng Wang 56 114 0 12 Jun 2019
Fast communication-efficient spectral clustering over distributed data Donghui Yan Yingjie Wang Jin Wang Guodong Wu Honggang Wang 26 5 0 05 May 2019