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A fast algorithm for maximum likelihood estimation of mixture
  proportions using sequential quadratic programming
v1v2v3v4v5 (latest)

A fast algorithm for maximum likelihood estimation of mixture proportions using sequential quadratic programming

4 June 2018
Youngseok Kim
P. Carbonetto
M. Stephens
M. Anitescu
ArXiv (abs)PDFHTML

Papers citing "A fast algorithm for maximum likelihood estimation of mixture proportions using sequential quadratic programming"

4 / 4 papers shown
Title
Second-Order Stochastic Optimization for Machine Learning in Linear Time
Second-Order Stochastic Optimization for Machine Learning in Linear Time
Naman Agarwal
Brian Bullins
Elad Hazan
ODL
59
102
0
12 Feb 2016
A Stochastic Quasi-Newton Method for Large-Scale Optimization
A Stochastic Quasi-Newton Method for Large-Scale Optimization
R. Byrd
Samantha Hansen
J. Nocedal
Y. Singer
ODL
108
471
0
27 Jan 2014
Nonparametric empirical Bayes and compound decision approaches to
  estimation of a high-dimensional vector of normal means
Nonparametric empirical Bayes and compound decision approaches to estimation of a high-dimensional vector of normal means
L. Brown
E. Greenshtein
132
155
0
12 Aug 2009
General maximum likelihood empirical Bayes estimation of normal means
General maximum likelihood empirical Bayes estimation of normal means
Wenhua Jiang
Cun-Hui Zhang
339
215
0
12 Aug 2009
1