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Statistical and Computational Guarantees for the Baum-Welch Algorithm

Statistical and Computational Guarantees for the Baum-Welch Algorithm

27 December 2015
Fanny Yang
Sivaraman Balakrishnan
Martin J. Wainwright
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Papers citing "Statistical and Computational Guarantees for the Baum-Welch Algorithm"

8 / 8 papers shown
Title
Regularized EM Algorithms: A Unified Framework and Statistical
  Guarantees
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
Xinyang Yi
Constantine Caramanis
50
81
0
27 Nov 2015
High Dimensional Expectation-Maximization Algorithm: Statistical
  Optimization and Asymptotic Normality
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang
Quanquan Gu
Y. Ning
Han Liu
144
53
0
30 Dec 2014
Statistical guarantees for the EM algorithm: From population to
  sample-based analysis
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan
Martin J. Wainwright
Bin Yu
300
478
0
09 Aug 2014
Spectral Experts for Estimating Mixtures of Linear Regressions
Spectral Experts for Estimating Mixtures of Linear Regressions
Arun Tejasvi Chaganty
Percy Liang
112
142
0
17 Jun 2013
On learning parametric-output HMMs
On learning parametric-output HMMs
A. Kontorovich
B. Nadler
Roi Weiss
57
37
0
25 Feb 2013
Learning mixtures of spherical Gaussians: moment methods and spectral
  decompositions
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
Daniel J. Hsu
Sham Kakade
212
324
0
25 Jun 2012
Settling the Polynomial Learnability of Mixtures of Gaussians
Settling the Polynomial Learnability of Mixtures of Gaussians
Ankur Moitra
Gregory Valiant
235
342
0
23 Apr 2010
Reduced-Rank Hidden Markov Models
Reduced-Rank Hidden Markov Models
S. Siddiqi
Byron Boots
Geoffrey J. Gordon
BDL
208
136
0
06 Oct 2009
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