Asymptotic Analysis of Sampling Estimators for Randomized Numerical
Linear Algebra Algorithms

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms

24 February 2020

Michael W. Mahoney

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Papers citing "Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms"

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Title
Multi-resolution subsampling for large-scale linear classification Haolin Chen Holger Dette Jun Yu 68 0 0 08 Jul 2024
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning Michał Dereziński Michael W. Mahoney 81 11 0 17 Jun 2024
Distributed Least Squares in Small Space via Sketching and Bias Reduction Sachin Garg Kevin Tan Michal Dereziñski 74 1 0 08 May 2024
Subsampling for Big Data Linear Models with Measurement Errors Jiangshan Ju Mingqiu Wang Shengli Zhao 121 0 0 07 Mar 2024
Towards a statistical theory of data selection under weak supervision Germain Kolossov Andrea Montanari Pulkit Tandon 76 15 0 25 Sep 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
Optimal subsampling designs Henrik Imberg Marina Axelson-Fisk J. Jonasson 64 3 0 06 Apr 2023
Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data Rui Xie Shuyang Bai Ping Ma AI4TS 48 7 0 14 Mar 2023
Least product relative error estimation for functional multiplicative model and optimal subsampling Qian Yan Hanyu Li 20 0 0 03 Jan 2023
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples Henrik Imberg Xiaomi Yang Carol Flannagan Jonas Bärgman 111 10 0 20 Dec 2022
Unweighted estimation based on optimal sample under measurement constraints Jing Wang Haiying Wang Shifeng Xiong 61 4 0 08 Oct 2022
Model-free Subsampling Method Based on Uniform Designs Mei Zhang Yongdao Zhou Zhengze Zhou Aijun Zhang 47 14 0 08 Sep 2022
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation Jingyi Zhang Cheng Meng Jun Yu Mengrui Zhang Wenxuan Zhong Ping Ma OT 74 12 0 31 May 2022
Optimal subsampling for functional quantile regression Qian Yan Hanyu Li Chengmei Niu 59 7 0 05 May 2022
Optimal Subsampling for High-dimensional Ridge Regression Hanyu Li Cheng Niu 16 3 0 18 Apr 2022
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models Yuan Gao Xuening Zhu Haobo Qi Guodong Li Riquan Zhang Hansheng Wang 71 3 0 02 Nov 2021
Determinantal Point Processes in Randomized Numerical Linear Algebra Michal Derezinski Michael W. Mahoney 78 81 0 07 May 2020