Rong Ge
Rong Ge
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Tensor decompositions for learning latent variable models
A Anandkumar, R Ge, D Hsu, SM Kakade, M Telgarsky
Journal of machine learning research 15, 2773-2832, 2014
10492014
Escaping from saddle points—online stochastic gradient for tensor decomposition
R Ge, F Huang, C Jin, Y Yuan
Conference on learning theory, 797-842, 2015
9102015
How to escape saddle points efficiently
C Jin, R Ge, P Netrapalli, SM Kakade, MI Jordan
International Conference on Machine Learning, 1724-1732, 2017
5912017
Matrix completion has no spurious local minimum
R Ge, JD Lee, T Ma
arXiv preprint arXiv:1605.07272, 2016
5582016
Generalization and equilibrium in generative adversarial nets (gans)
S Arora, R Ge, Y Liang, T Ma, Y Zhang
International Conference on Machine Learning, 224-232, 2017
5322017
Learning topic models--going beyond SVD
S Arora, R Ge, A Moitra
2012 IEEE 53rd annual symposium on foundations of computer science, 1-10, 2012
4472012
A practical algorithm for topic modeling with provable guarantees
S Arora, R Ge, Y Halpern, D Mimno, A Moitra, D Sontag, Y Wu, M Zhu
International conference on machine learning, 280-288, 2013
4462013
Computing a nonnegative matrix factorization---provably
S Arora, R Ge, R Kannan, A Moitra
SIAM Journal on Computing 45 (4), 1582-1611, 2016
4342016
Stronger generalization bounds for deep nets via a compression approach
S Arora, R Ge, B Neyshabur, Y Zhang
International Conference on Machine Learning, 254-263, 2018
4012018
Provable bounds for learning some deep representations
S Arora, A Bhaskara, R Ge, T Ma
International conference on machine learning, 584-592, 2014
3762014
No spurious local minima in nonconvex low rank problems: A unified geometric analysis
R Ge, C Jin, Y Zheng
International Conference on Machine Learning, 1233-1242, 2017
3422017
Global convergence of policy gradient methods for the linear quadratic regulator
M Fazel, R Ge, S Kakade, M Mesbahi
International Conference on Machine Learning, 1467-1476, 2018
322*2018
A tensor spectral approach to learning mixed membership community models
A Anandkumar, R Ge, D Hsu, S Kakade
Conference on Learning Theory, 867-881, 2013
2642013
New algorithms for learning in presence of errors
S Arora, R Ge
Automata, Languages and Programming, 403-415, 2011
2632011
Learning one-hidden-layer neural networks with landscape design
R Ge, JD Lee, T Ma
arXiv preprint arXiv:1711.00501, 2017
2182017
New algorithms for learning incoherent and overcomplete dictionaries
S Arora, R Ge, A Moitra
Conference on Learning Theory, 779-806, 2014
2062014
Simple, efficient, and neural algorithms for sparse coding
S Arora, R Ge, T Ma, A Moitra
Conference on learning theory, 113-149, 2015
1902015
Computational complexity and information asymmetry in financial products
S Arora, B Barak, M Brunnermeier, R Ge
ICS, 49-65, 2010
1882010
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
R Frostig, R Ge, S Kakade, A Sidford
International Conference on Machine Learning, 2540-2548, 2015
1412015
Efficient approaches for escaping higher order saddle points in non-convex optimization
A Anandkumar, R Ge
Conference on learning theory, 81-102, 2016
1382016
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Artikelen 1–20