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Sharp analysis of EM for learning mixtures of pairwise differences
20 February 2023
A. Dhawan
Cheng Mao
A. Pananjady
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Papers citing
"Sharp analysis of EM for learning mixtures of pairwise differences"
29 / 29 papers shown
Title
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models
Duc Nguyen
A. Zhang
30
6
0
10 Feb 2023
EM's Convergence in Gaussian Latent Tree Models
Y. Dagan
C. Daskalakis
Anthimos Vardis Kandiros
62
2
0
21 Nov 2022
On the identifiability of mixtures of ranking models
Xiaomin Zhang
Xucheng Zhang
Po-Ling Loh
Yingyu Liang
56
6
0
31 Jan 2022
Sharp global convergence guarantees for iterative nonconvex optimization: A Gaussian process perspective
Kabir Chandrasekher
A. Pananjady
Christos Thrampoulidis
32
7
0
20 Sep 2021
Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
Emmanuel Abbe
Shuangping Li
Allan Sly
94
41
0
25 Feb 2021
Optimal Full Ranking from Pairwise Comparisons
Pinhan Chen
Chao Gao
A. Zhang
64
21
0
21 Jan 2021
An extension of the angular synchronization problem to the heterogeneous setting
Ning Zhang
Hemant Tyagi
41
6
0
29 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
108
173
0
15 Dec 2020
Exact Minimax Estimation for Phase Synchronization
Chao Gao
A. Zhang
27
12
0
09 Oct 2020
Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments
Cheng Mao
Yihong Wu
37
7
0
14 Sep 2020
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences
Zhibing Zhao
Ao Liu
Lirong Xia
32
6
0
06 Jun 2020
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression
Jeongyeol Kwon
Nhat Ho
Constantine Caramanis
52
39
0
04 Jun 2020
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments
Sitan Chen
Jingkai Li
Zhao Song
60
39
0
16 Dec 2019
Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in
O
(
n
)
O(\sqrt{n})
O
(
n
)
iterations
Yihong Wu
Harrison H. Zhou
260
42
0
28 Aug 2019
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities
Wei Qian
Yuqian Zhang
Yudong Chen
44
10
0
16 Jun 2019
EM Converges for a Mixture of Many Linear Regressions
Jeongyeol Kwon
Constantine Caramanis
62
40
0
28 May 2019
Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression
Jeongyeol Kwon
Wei Qian
Constantine Caramanis
Yudong Chen
Damek Davis
65
57
0
12 Oct 2018
Singularity, Misspecification, and the Convergence Rate of EM
Raaz Dwivedi
Nhat Ho
K. Khamaru
Michael I. Jordan
Martin J. Wainwright
Bin Yu
62
58
0
01 Oct 2018
Exact Reconstruction of Euclidean Distance Geometry Problem Using Low-rank Matrix Completion
Abiy Tasissa
Rongjie Lai
37
34
0
12 Apr 2018
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
71
237
0
21 Mar 2018
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity
Yuanzhi Li
Yingyu Liang
64
75
0
22 Feb 2018
Estimating the Coefficients of a Mixture of Two Linear Regressions by Expectation Maximization
Jason M. Klusowski
Dana Yang
W. Brinda
56
41
0
26 Apr 2017
Ten Steps of EM Suffice for Mixtures of Two Gaussians
C. Daskalakis
Christos Tzamos
Manolis Zampetakis
283
124
0
01 Sep 2016
Global analysis of Expectation Maximization for mixtures of two Gaussians
Ji Xu
Daniel J. Hsu
A. Maleki
274
126
0
26 Aug 2016
Learning Mixtures of Plackett-Luce Models
Zhibing Zhao
P. Piech
Lirong Xia
53
46
0
23 Mar 2016
An Introduction to Matrix Concentration Inequalities
J. Tropp
168
1,155
0
07 Jan 2015
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan
Martin J. Wainwright
Bin Yu
313
481
0
09 Aug 2014
Learning Mixtures of Linear Classifiers
Yuekai Sun
Stratis Ioannidis
Andrea Montanari
80
22
0
11 Nov 2013
Spectral Experts for Estimating Mixtures of Linear Regressions
Arun Tejasvi Chaganty
Percy Liang
130
142
0
17 Jun 2013
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