Proportional Volume Sampling and Approximation Algorithms for A-Optimal
Design

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Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design

22 February 2018

Aleksandar Nikolov

U. Tantipongpipat

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Papers citing "Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design"

16 / 16 papers shown

Title
Experimental Design for Any $p$ -Norm L. Lau Robert Wang Hong Zhou 14 1 0 03 May 2023
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD Rémi Bardenet Subhro Ghosh Meixia Lin 75 6 0 11 Dec 2021
High-Dimensional Experimental Design and Kernel Bandits Romain Camilleri Julian Katz-Samuels Kevin Jamieson 75 57 0 12 May 2021
On proportional volume sampling for experimental design in general spaces Arnaud Poinas Rémi Bardenet 39 5 0 09 Nov 2020
A Local Search Framework for Experimental Design L. Lau Hong Zhou 37 9 0 29 Oct 2020
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design Yufei Ruan Jiaqi Yang Yuanshuo Zhou OffRL 168 52 0 04 Jul 2020
Determinantal Point Processes in Randomized Numerical Linear Algebra Michal Derezinski Michael W. Mahoney 76 81 0 07 May 2020
Maximizing Determinants under Matroid Constraints V. Madan Aleksandar Nikolov Mohit Singh U. Tantipongpipat 57 8 0 16 Apr 2020
Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees Yongchun Li Weijun Xie 15 16 0 23 Jan 2020
Bayesian experimental design using regularized determinantal point processes Michal Derezinski Feynman T. Liang Michael W. Mahoney 48 26 0 10 Jun 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 105 25 0 04 Feb 2019
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision M. Joneidi Alireza Zaeemzadeh Nazanin Rahnavard M. Shah 76 14 0 29 Nov 2018
Correcting the bias in least squares regression with volume-rescaled sampling Michal Derezinski Manfred K. Warmuth Daniel J. Hsu 49 15 0 04 Oct 2018
Composable Core-sets for Determinant Maximization Problems via Spectral Spanners Piotr Indyk S. Mahabadi S. Gharan A. Rezaei 60 20 0 31 Jul 2018
Leveraged volume sampling for linear regression Michal Derezinski Manfred K. Warmuth Daniel J. Hsu 78 58 0 19 Feb 2018
Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach Zeyuan Allen-Zhu Yuanzhi Li Aarti Singh Yining Wang 84 59 0 14 Nov 2017