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Provable Bounds for Learning Some Deep Representations

Provable Bounds for Learning Some Deep Representations

23 October 2013
Sanjeev Arora
Aditya Bhaskara
Rong Ge
Tengyu Ma
    BDL
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Papers citing "Provable Bounds for Learning Some Deep Representations"

9 / 9 papers shown
Title
Nonparametric Learning of Two-Layer ReLU Residual Units
Nonparametric Learning of Two-Layer ReLU Residual Units
Zhunxuan Wang
Linyun He
Chunchuan Lyu
Shay B. Cohen
MLT
OffRL
110
1
0
17 Aug 2020
New Algorithms for Learning Incoherent and Overcomplete Dictionaries
New Algorithms for Learning Incoherent and Overcomplete Dictionaries
Sanjeev Arora
Rong Ge
Ankur Moitra
58
205
0
28 Aug 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
107
324
0
25 Jun 2012
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
184
12,384
0
24 Jun 2012
A Spectral Algorithm for Latent Dirichlet Allocation
A Spectral Algorithm for Latent Dirichlet Allocation
Anima Anandkumar
Dean Phillips Foster
Daniel J. Hsu
Sham Kakade
Yi-Kai Liu
132
300
0
30 Apr 2012
Learning Topic Models - Going beyond SVD
Learning Topic Models - Going beyond SVD
Sanjeev Arora
Rong Ge
Ankur Moitra
129
432
0
09 Apr 2012
Settling the Polynomial Learnability of Mixtures of Gaussians
Settling the Polynomial Learnability of Mixtures of Gaussians
Ankur Moitra
Gregory Valiant
137
341
0
23 Apr 2010
The Noise-Sensitivity Phase Transition in Compressed Sensing
The Noise-Sensitivity Phase Transition in Compressed Sensing
D. Donoho
A. Maleki
Andrea Montanari
82
382
0
08 Apr 2010
A Spectral Algorithm for Learning Hidden Markov Models
A Spectral Algorithm for Learning Hidden Markov Models
Daniel J. Hsu
Sham Kakade
Tong Zhang
141
309
0
26 Nov 2008
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