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Faster Greedy MAP Inference for Determinantal Point Processes
v1v2 (latest)

Faster Greedy MAP Inference for Determinantal Point Processes

9 March 2017
Insu Han
P. Kambadur
KyoungSoo Park
Jinwoo Shin
ArXiv (abs)PDFHTML

Papers citing "Faster Greedy MAP Inference for Determinantal Point Processes"

9 / 9 papers shown
Determinantal Point Process Attention Over Grid Cell Code Supports Out
  of Distribution Generalization
Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution GeneralizationeLife (eLife), 2023
S. S. Mondal
Steven M. Frankland
Taylor Webb
Jonathan D. Cohen
296
1
0
28 May 2023
Compositional Exemplars for In-context Learning
Compositional Exemplars for In-context LearningInternational Conference on Machine Learning (ICML), 2023
Jiacheng Ye
Zhiyong Wu
Jiangtao Feng
Tao Yu
Lingpeng Kong
467
181
0
11 Feb 2023
Neural Design for Genetic Perturbation Experiments
Neural Design for Genetic Perturbation ExperimentsInternational Conference on Learning Representations (ICLR), 2022
Aldo Pacchiano
Drausin Wulsin
Robert A. Barton
L. Voloch
333
7
0
26 Jul 2022
Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Lazy and Fast Greedy MAP Inference for Determinantal Point ProcessNeural Information Processing Systems (NeurIPS), 2022
Shinichi Hemmi
Taihei Oki
Shinsaku Sakaue
K. Fujii
Satoru Iwata
238
6
0
13 Jun 2022
Scalable Sampling for Nonsymmetric Determinantal Point Processes
Scalable Sampling for Nonsymmetric Determinantal Point ProcessesInternational Conference on Learning Representations (ICLR), 2022
Insu Han
Mike Gartrell
Jennifer Gillenwater
Elvis Dohmatob
Amin Karbasi
320
5
0
20 Jan 2022
Some Inapproximability Results of MAP Inference and Exponentiated
  Determinantal Point Processes
Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes
Naoto Ohsaka
188
4
0
02 Sep 2021
Determinantal Beam Search
Determinantal Beam SearchAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Clara Meister
Martina Forster
Robert Bamler
287
20
0
14 Jun 2021
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point
  Processes
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Mike Gartrell
Insu Han
Elvis Dohmatob
Jennifer Gillenwater
Victor-Emmanuel Brunel
288
18
0
17 Jun 2020
VBALD - Variational Bayesian Approximation of Log Determinants
VBALD - Variational Bayesian Approximation of Log Determinants
Diego Granziol
E. Wagstaff
Binxin Ru
Michael A. Osborne
Stephen J. Roberts
196
2
0
21 Feb 2018
1
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