Rong Ge
Title
Cited by
Cited by
Year
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
7932014
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
6312015
Matrix completion has no spurious local minimum
R Ge, JD Lee, T Ma
Advances in Neural Information Processing Systems, 2973-2981, 2016
3852016
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
3582012
How to escape saddle points efficiently
C Jin, R Ge, P Netrapalli, SM Kakade, MI Jordan
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
3422017
Computing a nonnegative matrix factorization---Provably
S Arora, R Ge, R Kannan, A Moitra
SIAM Journal on Computing 45 (4), 1582-1611, 2016
3372016
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
3362013
Generalization and equilibrium in generative adversarial nets (gans)
S Arora, R Ge, Y Liang, T Ma, Y Zhang
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
2922017
Provable bounds for learning some deep representations
S Arora, A Bhaskara, R Ge, T Ma
International Conference on Machine Learning, 584-592, 2014
2902014
No spurious local minima in nonconvex low rank problems: A unified geometric analysis
R Ge, C Jin, Y Zheng
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
2242017
A tensor approach to learning mixed membership community models
A Anandkumar, R Ge, D Hsu, SM Kakade
The Journal of Machine Learning Research 15 (1), 2239-2312, 2014
2182014
New algorithms for learning in presence of errors
S Arora, R Ge
Automata, Languages and Programming, 403-415, 2011
2142011
Stronger generalization bounds for deep nets via a compression approach
S Arora, R Ge, B Neyshabur, Y Zhang
arXiv preprint arXiv:1802.05296, 2018
1852018
New algorithms for learning incoherent and overcomplete dictionaries
S Arora, R Ge, A Moitra
Conference on Learning Theory, 779-806, 2014
1792014
Computational complexity and information asymmetry in financial products
S Arora, B Barak, M Brunnermeier, R Ge
ICS, 49-65, 2010
1692010
Simple, efficient, and neural algorithms for sparse coding
S Arora, R Ge, T Ma, A Moitra
Proceedings of Machine Learning Research, 2015
1552015
Global convergence of policy gradient methods for the linear quadratic regulator
M Fazel, R Ge, SM Kakade, M Mesbahi
arXiv preprint arXiv:1801.05039, 2018
119*2018
Learning one-hidden-layer neural networks with landscape design
R Ge, JD Lee, T Ma
arXiv preprint arXiv:1711.00501, 2017
1192017
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
1092015
Efficient approaches for escaping higher order saddle points in non-convex optimization
A Anandkumar, R Ge
Conference on learning theory, 81-102, 2016
972016
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Articles 1–20