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Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental
v1v2 (latest)

Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental

27 August 2015
Carlos Améndola
Mathias Drton
Bernd Sturmfels
ArXiv (abs)PDFHTML

Papers citing "Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental"

12 / 12 papers shown
Title
An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model
  And Gaussian Mixture Embedding For Neural Network
An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network
Weiguo Lu
Xuan Wu
Deng Ding
Gangnan Yuan
BDL
53
1
0
18 Aug 2023
Fast approximations of the Jeffreys divergence between univariate
  Gaussian mixture models via exponential polynomial densities
Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities
Frank Nielsen
98
12
0
13 Jul 2021
Estimating Gaussian mixtures using sparse polynomial moment systems
Estimating Gaussian mixtures using sparse polynomial moment systems
J. Lindberg
Carlos Améndola
J. Rodriguez
56
9
0
29 Jun 2021
Exact Solutions in Log-Concave Maximum Likelihood Estimation
Exact Solutions in Log-Concave Maximum Likelihood Estimation
Alexandros Grosdos
Alexander Heaton
Kaie Kubjas
Olga Kuznetsova
Georgy Scholten
Miruna-Stefana Sorea
70
3
0
10 Mar 2020
Sampling Can Be Faster Than Optimization
Sampling Can Be Faster Than Optimization
Yian Ma
Yuansi Chen
Chi Jin
Nicolas Flammarion
Michael I. Jordan
72
186
0
20 Nov 2018
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing
  With Multinomial Mixture Kernel and Endmember Uncertainty
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty
Savas Ozkan
G. Akar
UQCV
109
14
0
03 Aug 2018
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Soheil Kolouri
Gustavo K. Rohde
Heiko Hoffmann
82
122
0
15 Nov 2017
On $w$-mixtures: Finite convex combinations of prescribed component
  distributions
On www-mixtures: Finite convex combinations of prescribed component distributions
Frank Nielsen
Richard Nock
CoGe
56
11
0
02 Aug 2017
Maximum Number of Modes of Gaussian Mixtures
Maximum Number of Modes of Gaussian Mixtures
Carlos Améndola
Alexander Engstrom
Christian Haase
72
31
0
16 Feb 2017
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural
  Results and Algorithmic Consequences
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
Chi Jin
Yuchen Zhang
Sivaraman Balakrishnan
Martin J. Wainwright
Michael I. Jordan
147
132
0
04 Sep 2016
Guaranteed bounds on the Kullback-Leibler divergence of univariate
  mixtures using piecewise log-sum-exp inequalities
Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities
Frank Nielsen
Ke Sun
80
81
0
19 Jun 2016
Moment Varieties of Gaussian Mixtures
Moment Varieties of Gaussian Mixtures
Carlos Améndola
J. Faugère
Bernd Sturmfels
61
53
0
15 Oct 2015
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