ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1411.1088
  4. Cited By
Expectation-Maximization for Learning Determinantal Point Processes

Expectation-Maximization for Learning Determinantal Point Processes

4 November 2014
Jennifer Gillenwater
Alex Kulesza
E. Fox
B. Taskar
ArXivPDFHTML

Papers citing "Expectation-Maximization for Learning Determinantal Point Processes"

9 / 9 papers shown
Title
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
Sangwoo Shin
H. Hino
59
0
0
02 Aug 2024
Learning the Parameters of Determinantal Point Process Kernels
Learning the Parameters of Determinantal Point Process Kernels
Raja Hafiz Affandi
E. Fox
Ryan P. Adams
B. Taskar
73
97
0
20 Feb 2014
Approximate Inference in Continuous Determinantal Point Processes
Approximate Inference in Continuous Determinantal Point Processes
Raja Hafiz Affandi
E. Fox
B. Taskar
60
21
0
12 Nov 2013
Determinantal Clustering Processes - A Nonparametric Bayesian Approach
  to Kernel Based Semi-Supervised Clustering
Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering
Amar Shah
Zoubin Ghahramani
57
20
0
26 Sep 2013
Learning Mixtures of Submodular Shells with Application to Document
  Summarization
Learning Mixtures of Submodular Shells with Application to Document Summarization
Hui-Ching Lin
J. Bilmes
84
191
0
16 Oct 2012
Markov Determinantal Point Processes
Markov Determinantal Point Processes
Raja Hafiz Affandi
Alex Kulesza
E. Fox
76
43
0
16 Oct 2012
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
235
1,134
0
25 Jul 2012
Near-optimal Nonmyopic Value of Information in Graphical Models
Near-optimal Nonmyopic Value of Information in Graphical Models
Andreas Krause
Carlos Guestrin
74
467
0
04 Jul 2012
Learning Determinantal Point Processes
Learning Determinantal Point Processes
Alex Kulesza
B. Taskar
58
162
0
14 Feb 2012
1