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1503.00424
Cited By
Learning Mixtures of Gaussians in High Dimensions
2 March 2015
Rong Ge
Qingqing Huang
Sham Kakade
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Papers citing
"Learning Mixtures of Gaussians in High Dimensions"
22 / 22 papers shown
Title
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
Amit Daniely
Nathan Srebro
Gal Vardi
33
4
0
15 Feb 2023
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
Yuchen Wu
Kangjie Zhou
29
6
0
07 Nov 2022
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
Jingkai Li
Allen Liu
25
23
0
01 Dec 2021
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
Xiang Wang
Xinlei Chen
S. Du
Yuandong Tian
SSL
21
26
0
11 Oct 2021
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
Ilias Diakonikolas
D. Kane
21
32
0
14 Dec 2020
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
Haolin Chen
Luis Rademacher
29
3
0
16 Jul 2020
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
A. Garg
N. Kayal
Chandan Saha
22
22
0
15 Apr 2020
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
Zhao Song
David P. Woodruff
Peilin Zhong
30
122
0
26 Apr 2017
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
Tengyu Ma
Jonathan Shi
David Steurer
23
119
0
06 Oct 2016
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
Carlos Améndola
J. Faugère
Bernd Sturmfels
17
53
0
15 Oct 2015
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
Abhinav Nellore
Rachel A. Ward
75
36
0
12 Sep 2013
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