Bayesian experimental design using regularized determinantal point processes

10 June 2019

Papers citing "Bayesian experimental design using regularized determinantal point processes"

20 / 20 papers shown

Title
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence Sangwoo Shin H. Hino 78 0 0 02 Aug 2024
Solving Dense Linear Systems Faster Than via Preconditioning Michal Dereziñski Jiaming Yang 108 12 0 14 Dec 2023
Sharded Bayesian Additive Regression Trees Hengrui Luo M. Pratola 64 6 0 01 Jun 2023
On sampling determinantal and Pfaffian point processes on a quantum computer Rémi Bardenet Michaël Fanuel A. Feller 25 1 0 25 May 2023
Experimental Design for Any $p$ -Norm L. Lau Robert Wang Hong Zhou 14 1 0 03 May 2023
Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random Designs Michal Derezinski 71 5 0 21 Jun 2022
Efficient Kernel UCB for Contextual Bandits Houssam Zenati A. Bietti Eustache Diemert Julien Mairal Matthieu Martin Pierre Gaillard 117 4 0 11 Feb 2022
Nearly Optimal Algorithms for Level Set Estimation Blake Mason Romain Camilleri Subhojyoti Mukherjee Kevin Jamieson Robert D. Nowak Lalit P. Jain 77 23 0 02 Nov 2021
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes Elvis Nava Mojmír Mutný Andreas Krause 55 15 0 22 Oct 2021
Nonparametric estimation of continuous DPPs with kernel methods Michaël Fanuel Rémi Bardenet 44 1 0 27 Jun 2021
Submodular + Concave Siddharth Mitra Moran Feldman Amin Karbasi 35 19 0 09 Jun 2021
High-Dimensional Experimental Design and Kernel Bandits Romain Camilleri Julian Katz-Samuels Kevin Jamieson 75 57 0 12 May 2021
Adaptive Sampling for Fast Constrained Maximization of Submodular Function Francesco Quinzan Vanja Doskoc Andreas Göbel Tobias Friedrich 89 5 0 12 Feb 2021
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems Michaël Fanuel J. Schreurs Johan A. K. Suykens 20 4 0 13 Nov 2020
On proportional volume sampling for experimental design in general spaces Arnaud Poinas Rémi Bardenet 39 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
Determinantal Point Processes in Randomized Numerical Linear Algebra Michal Derezinski Michael W. Mahoney 76 81 0 07 May 2020
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nyström method Michal Derezinski Rajiv Khanna Michael W. Mahoney 63 10 0 21 Feb 2020
Exact expressions for double descent and implicit regularization via surrogate random design Michal Derezinski Feynman T. Liang Michael W. Mahoney 80 78 0 10 Dec 2019
Unbiased estimators for random design regression Michal Derezinski Manfred K. Warmuth Daniel J. Hsu 65 17 0 08 Jul 2019