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Learning Mixtures of Gaussians in High Dimensions

Learning Mixtures of Gaussians in High Dimensions

2 March 2015
Rong Ge
Qingqing Huang
Sham Kakade
ArXivPDFHTML

Papers citing "Learning Mixtures of Gaussians in High Dimensions"

22 / 22 papers shown
Title
Learning High-dimensional Gaussians from Censored Data
Learning High-dimensional Gaussians from Censored Data
Arnab Bhattacharyya
C. Daskalakis
Themis Gouleakis
Yuhao Wang
31
0
0
28 Apr 2025
Computational Complexity of Learning Neural Networks: Smoothness and
  Degeneracy
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy
Amit Daniely
Nathan Srebro
Gal Vardi
33
4
0
15 Feb 2023
Average-Case Complexity of Tensor Decomposition for Low-Degree
  Polynomials
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials
Alexander S. Wein
27
9
0
10 Nov 2022
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Yuchen Wu
Kangjie Zhou
29
6
0
07 Nov 2022
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition
Samuel B. Hopkins
T. Schramm
Jonathan Shi
27
23
0
05 Mar 2022
Clustering Mixtures with Almost Optimal Separation in Polynomial Time
Clustering Mixtures with Almost Optimal Separation in Polynomial Time
Jingkai Li
Allen Liu
25
23
0
01 Dec 2021
Landscape analysis of an improved power method for tensor decomposition
Landscape analysis of an improved power method for tensor decomposition
Joe Kileel
T. Klock
João M. Pereira
24
10
0
29 Oct 2021
Towards Demystifying Representation Learning with Non-contrastive
  Self-supervision
Towards Demystifying Representation Learning with Non-contrastive Self-supervision
Xiang Wang
Xinlei Chen
S. Du
Yuandong Tian
SSL
21
26
0
11 Oct 2021
Learning GMMs with Nearly Optimal Robustness Guarantees
Learning GMMs with Nearly Optimal Robustness Guarantees
Allen Liu
Ankur Moitra
26
15
0
19 Apr 2021
Small Covers for Near-Zero Sets of Polynomials and Learning Latent
  Variable Models
Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models
Ilias Diakonikolas
D. Kane
21
32
0
14 Dec 2020
Settling the Robust Learnability of Mixtures of Gaussians
Settling the Robust Learnability of Mixtures of Gaussians
Allen Liu
Ankur Moitra
37
41
0
06 Nov 2020
Overcomplete order-3 tensor decomposition, blind deconvolution and
  Gaussian mixture models
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models
Haolin Chen
Luis Rademacher
29
3
0
16 Jul 2020
Learning an arbitrary mixture of two multinomial logits
Learning an arbitrary mixture of two multinomial logits
Wenpin Tang
25
6
0
01 Jul 2020
Learning sums of powers of low-degree polynomials in the non-degenerate
  case
Learning sums of powers of low-degree polynomials in the non-degenerate case
A. Garg
N. Kayal
Chandan Saha
22
22
0
15 Apr 2020
Learning Two-layer Neural Networks with Symmetric Inputs
Learning Two-layer Neural Networks with Symmetric Inputs
Rong Ge
Rohith Kuditipudi
Zhize Li
Xiang Wang
OOD
MLT
36
57
0
16 Oct 2018
Relative Error Tensor Low Rank Approximation
Relative Error Tensor Low Rank Approximation
Zhao Song
David P. Woodruff
Peilin Zhong
30
122
0
26 Apr 2017
Provable learning of Noisy-or Networks
Provable learning of Noisy-or Networks
Sanjeev Arora
Rong Ge
Tengyu Ma
Andrej Risteski
30
26
0
28 Dec 2016
Polynomial-time Tensor Decompositions with Sum-of-Squares
Polynomial-time Tensor Decompositions with Sum-of-Squares
Tengyu Ma
Jonathan Shi
David Steurer
23
119
0
06 Oct 2016
Ten Steps of EM Suffice for Mixtures of Two Gaussians
Ten Steps of EM Suffice for Mixtures of Two Gaussians
C. Daskalakis
Christos Tzamos
Manolis Zampetakis
28
120
0
01 Sep 2016
Moment Varieties of Gaussian Mixtures
Moment Varieties of Gaussian Mixtures
Carlos Améndola
J. Faugère
Bernd Sturmfels
17
53
0
15 Oct 2015
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares
  Algorithms
Decomposing Overcomplete 3rd Order Tensors using Sum-of-Squares Algorithms
Rong Ge
Tengyu Ma
27
65
0
21 Apr 2015
Recovery guarantees for exemplar-based clustering
Recovery guarantees for exemplar-based clustering
Abhinav Nellore
Rachel A. Ward
75
36
0
12 Sep 2013
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