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Exact Sampling from Determinantal Point Processes
22 September 2016
Philipp Hennig
Roman Garnett
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Papers citing
"Exact Sampling from Determinantal Point Processes"
11 / 11 papers shown
Novel Pivoted Cholesky Decompositions for Efficient Gaussian Process Inference
Filip de Roos
Fabio Muratore
213
0
0
28 Jul 2025
MUSS: Multilevel Subset Selection for Relevance and Diversity
Vu Nguyen
Andrey Kan
428
2
0
14 Mar 2025
Naturally Private Recommendations with Determinantal Point Processes
Jack K. Fitzsimons
Agustín Freitas Pasqualini
R. Pisarczyk
Dmitrii Usynin
171
0
0
22 May 2024
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Henry B. Moss
Sebastian W. Ober
Victor Picheny
462
38
0
24 Jan 2023
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation
Henry B. Moss
Sebastian W. Ober
Victor Picheny
273
5
0
06 Jun 2022
Rates of Convergence for Sparse Variational Gaussian Process Regression
David R. Burt
C. Rasmussen
Mark van der Wilk
366
164
0
08 Mar 2019
DPPNet: Approximating Determinantal Point Processes with Deep Networks
Zelda E. Mariet
Yaniv Ovadia
Jasper Snoek
258
12
0
07 Jan 2019
A Polynomial Time MCMC Method for Sampling from Continuous DPPs
S. Gharan
A. Rezaei
173
4
0
20 Oct 2018
Improving Quadrature for Constrained Integrands
Henry Chai
Roman Garnett
TPM
513
27
0
13 Feb 2018
Open Loop Hyperparameter Optimization and Determinantal Point Processes
Jesse Dodge
Catrìona Anderson
Noah A. Smith
223
2
0
06 Jun 2017
Échantillonnage de signaux sur graphes via des processus déterminantaux
Nicolas M Tremblay
Simon Barthelmé
P. Amblard
259
1
0
07 Apr 2017
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