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Leveraged volume sampling for linear regression

19 February 2018

Papers citing "Leveraged volume sampling for linear regression"

30 / 30 papers shown

Title
Robust Offline Active Learning on Graphs Yuanchen Wu Yubai Yuan OffRL 48 0 0 15 Aug 2024
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning Michał Dereziński Michael W. Mahoney 81 11 0 17 Jun 2024
Agnostic Active Learning of Single Index Models with Linear Sample Complexity Aarshvi Gajjar Wai Ming Tai Xingyu Xu Chinmay Hegde Yi Li Chris Musco 84 9 0 15 May 2024
A unified framework for learning with nonlinear model classes from arbitrary linear samples Ben Adcock Juan M. Cardenas N. Dexter 75 3 0 25 Nov 2023
Improved Active Learning via Dependent Leverage Score Sampling Atsushi Shimizu Xiaoou Cheng Chris Musco Jonathan Weare FedML 59 6 0 08 Oct 2023
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions Ben Adcock Juan M. Cardenas N. Dexter 70 6 0 01 Jun 2023
Improved Financial Forecasting via Quantum Machine Learning Sohum Thakkar Skander Kazdaghli Natansh Mathur Iordanis Kerenidis A. J. Ferreira-Martins Samurai Brito QC Ware Corp AIFin 55 26 0 31 May 2023
Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independence Nima Anari Yang P. Liu T. Vuong 54 18 0 06 Apr 2022
Semi-supervised Active Regression Fnu Devvrit Nived Rajaraman Pranjal Awasthi 102 0 0 12 Jun 2021
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence Xue Chen Michal Derezinski 61 31 0 03 Feb 2021
Sparse sketches with small inversion bias Michal Derezinski Zhenyu Liao Yan Sun Michael W. Mahoney 107 22 0 21 Nov 2020
On proportional volume sampling for experimental design in general spaces Arnaud Poinas Rémi Bardenet 49 5 0 09 Nov 2020
Sampling from a $k$ -DPP without looking at all items Daniele Calandriello Michal Derezinski Michal Valko 61 24 0 30 Jun 2020
Active Online Learning with Hidden Shifting Domains Yining Chen Haipeng Luo Tengyu Ma Chicheng Zhang 48 5 0 25 Jun 2020
Fourier Sparse Leverage Scores and Approximate Kernel Learning T. Erdélyi Cameron Musco Christopher Musco 73 22 0 12 Jun 2020
Determinantal Point Processes in Randomized Numerical Linear Algebra Michal Derezinski Michael W. Mahoney 78 81 0 07 May 2020
Kernel interpolation with continuous volume sampling Ayoub Belhadji Rémi Bardenet P. Chainais 54 23 0 22 Feb 2020
Exact expressions for double descent and implicit regularization via surrogate random design Michal Derezinski Feynman T. Liang Michael W. Mahoney 82 78 0 10 Dec 2019
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond A. Banerjee Qilong Gu V. Sivakumar Zhiwei Steven Wu 47 4 0 11 Oct 2019
Bayesian Batch Active Learning as Sparse Subset Approximation Robert Pinsler Jonathan Gordon Eric T. Nalisnick José Miguel Hernández-Lobato UQCV 69 132 0 06 Aug 2019
Unbiased estimators for random design regression Michal Derezinski Manfred K. Warmuth Daniel J. Hsu 73 17 0 08 Jul 2019
Bayesian experimental design using regularized determinantal point processes Michal Derezinski Feynman T. Liang Michael W. Mahoney 48 26 0 10 Jun 2019
Exact sampling of determinantal point processes with sublinear time preprocessing Michal Derezinski Daniele Calandriello Michal Valko 95 55 0 31 May 2019
Distributed estimation of the inverse Hessian by determinantal averaging Michal Derezinski Michael W. Mahoney 67 31 0 28 May 2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression Michal Derezinski K. Clarkson Michael W. Mahoney Manfred K. Warmuth 107 25 0 04 Feb 2019
A determinantal point process for column subset selection Ayoub Belhadji Rémi Bardenet P. Chainais 43 28 0 23 Dec 2018
Fast determinantal point processes via distortion-free intermediate sampling Michal Derezinski 86 40 0 08 Nov 2018
Correcting the bias in least squares regression with volume-rescaled sampling Michal Derezinski Manfred K. Warmuth Daniel J. Hsu 57 15 0 04 Oct 2018
Determinantal Point Processes for Coresets Nicolas M Tremblay Simon Barthelmé P. Amblard 76 32 0 23 Mar 2018
Unbiased estimates for linear regression via volume sampling Michal Derezinski Manfred K. Warmuth 122 51 0 19 May 2017