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Exact sampling of determinantal point processes with sublinear time
  preprocessing

Exact sampling of determinantal point processes with sublinear time preprocessing

31 May 2019
Michal Derezinski
Daniele Calandriello
Michal Valko
ArXivPDFHTML

Papers citing "Exact sampling of determinantal point processes with sublinear time preprocessing"

22 / 22 papers shown
Title
MUSS: Multilevel Subset Selection for Relevance and Diversity
MUSS: Multilevel Subset Selection for Relevance and Diversity
Vu Nguyen
Andrey Kan
82
0
0
14 Mar 2025
Adaptive Sampling for Stochastic Risk-Averse Learning
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi
Kfir Y. Levy
Stefanie Jegelka
Andreas Krause
108
54
0
28 Oct 2019
Convergence Analysis of Block Coordinate Algorithms with Determinantal
  Sampling
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling
Mojmír Mutný
Michal Derezinski
Andreas Krause
94
21
0
25 Oct 2019
Gaussian Process Optimization with Adaptive Sketching: Scalable and No
  Regret
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
Daniele Calandriello
Luigi Carratino
A. Lazaric
Michal Valko
Lorenzo Rosasco
GP
41
0
0
13 Mar 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression
Rates of Convergence for Sparse Variational Gaussian Process Regression
David R. Burt
C. Rasmussen
Mark van der Wilk
47
153
0
08 Mar 2019
Fast determinantal point processes via distortion-free intermediate
  sampling
Fast determinantal point processes via distortion-free intermediate sampling
Michal Derezinski
58
40
0
08 Nov 2018
Learning Signed Determinantal Point Processes through the Principal
  Minor Assignment Problem
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
Victor-Emmanuel Brunel
134
27
0
01 Nov 2018
On Fast Leverage Score Sampling and Optimal Learning
On Fast Leverage Score Sampling and Optimal Learning
Alessandro Rudi
Daniele Calandriello
Luigi Carratino
Lorenzo Rosasco
46
82
0
31 Oct 2018
Correcting the bias in least squares regression with volume-rescaled
  sampling
Correcting the bias in least squares regression with volume-rescaled sampling
Michal Derezinski
Manfred K. Warmuth
Daniel J. Hsu
36
15
0
04 Oct 2018
Active Mini-Batch Sampling using Repulsive Point Processes
Active Mini-Batch Sampling using Repulsive Point Processes
Cheng Zhang
Cengiz Öztireli
Stephan Mandt
G. Salvi
30
36
0
08 Apr 2018
Distributed Adaptive Sampling for Kernel Matrix Approximation
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele Calandriello
A. Lazaric
Michal Valko
112
24
0
27 Mar 2018
Exact Sampling of Determinantal Point Processes without
  Eigendecomposition
Exact Sampling of Determinantal Point Processes without Eigendecomposition
Claire Launay
B. Galerne
A. Desolneux
30
31
0
23 Feb 2018
Leveraged volume sampling for linear regression
Leveraged volume sampling for linear regression
Michal Derezinski
Manfred K. Warmuth
Daniel J. Hsu
35
58
0
19 Feb 2018
Fair and Diverse DPP-based Data Summarization
Fair and Diverse DPP-based Data Summarization
L. E. Celis
Vijay Keswani
D. Straszak
Amit Deshpande
Tarun Kathuria
Nisheeth K. Vishnoi
47
119
0
12 Feb 2018
Zonotope hit-and-run for efficient sampling from projection DPPs
Zonotope hit-and-run for efficient sampling from projection DPPs
G. Gautier
Rémi Bardenet
Michal Valko
47
18
0
30 May 2017
Unbiased estimates for linear regression via volume sampling
Unbiased estimates for linear regression via volume sampling
Michal Derezinski
Manfred K. Warmuth
105
51
0
19 May 2017
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and
  Constrained Sampling
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
Chengtao Li
Stefanie Jegelka
S. Sra
51
38
0
02 Aug 2016
Kronecker Determinantal Point Processes
Kronecker Determinantal Point Processes
Zelda E. Mariet
S. Sra
26
31
0
26 May 2016
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh
  Distributions and Determinantal Point Processes
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes
Nima Anari
S. Gharan
A. Rezaei
47
130
0
16 Feb 2016
Efficient Sampling for k-Determinantal Point Processes
Efficient Sampling for k-Determinantal Point Processes
Chengtao Li
Stefanie Jegelka
S. Sra
122
52
0
04 Sep 2015
Fast Mixing for Discrete Point Processes
Fast Mixing for Discrete Point Processes
Patrick Rebeschini
Amin Karbasi
45
29
0
06 Jun 2015
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
235
1,138
0
25 Jul 2012
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