Unbiased estimates for linear regression via volume sampling

19 May 2017

Papers citing "Unbiased estimates for linear regression via volume sampling"

14 / 14 papers shown

Title
Data Selection for ERMs Steve Hanneke Shay Moran Alexander Shlimovich Amir Yehudayoff 36 0 0 20 Apr 2025
PRIMO: Private Regression in Multiple Outcomes Seth Neel 25 0 0 07 Mar 2023
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD Rémi Bardenet Subhro Ghosh Meixia Lin 19 6 0 11 Dec 2021
L1 Regression with Lewis Weights Subsampling Aditya Parulekar Advait Parulekar Eric Price 30 19 0 19 May 2021
Determinantal Point Processes in Randomized Numerical Linear Algebra Michal Derezinski Michael W. Mahoney 34 77 0 07 May 2020
Kernel interpolation with continuous volume sampling Ayoub Belhadji Rémi Bardenet P. Chainais 24 22 0 22 Feb 2020
Exact expressions for double descent and implicit regularization via surrogate random design Michal Derezinski Feynman T. Liang Michael W. Mahoney 27 77 0 10 Dec 2019
Distributed estimation of the inverse Hessian by determinantal averaging Michal Derezinski Michael W. Mahoney 22 28 0 28 May 2019
Reverse iterative volume sampling for linear regression Michal Derezinski Manfred K. Warmuth 49 43 0 06 Jun 2018
Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design Aleksandar Nikolov Mohit Singh U. Tantipongpipat 20 47 0 22 Feb 2018
Subsampling for Ridge Regression via Regularized Volume Sampling Michal Derezinski Manfred K. Warmuth 26 20 0 14 Oct 2017
Linear regression without correspondence Daniel J. Hsu K. Shi Xiaorui Sun 29 82 0 19 May 2017
Polynomial Time Algorithms for Dual Volume Sampling Chengtao Li Stefanie Jegelka S. Sra 11 31 0 08 Mar 2017
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,124 0 25 Jul 2012