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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
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Papers citing "Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes"

4 / 4 papers shown
Title
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
Seongho Joo
Hyukhun Koh
Kyomin Jung
DiffM
47
0
0
23 Oct 2023
Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes
Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes
Naoto Ohsaka
22
4
0
02 Sep 2021
From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization
From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization
Nima Anari
T. Vuong
24
9
0
10 Feb 2021
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
165
1,123
0
25 Jul 2012