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All publications by Rong Ge
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Intersecting Faces: Non-negative Matrix Factorization With New Guarantees
Rong Ge and James Zou
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Roy Frostig, Rong Ge, Sham Kakade and Aaron Sidford
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Provable Bounds for Learning Some Deep Representations
Sanjeev Arora, Aditya Bhaskara, Rong Ge and Tengyu Ma
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Practical Algorithm for Topic Modeling with Provable Guarantees
Sanjeev Arora, Rong Ge, Yonatan Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu and Michael Zhu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


"Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders"
Sanjeev Arora, Rong Ge, Ankur Moitra and Sushant Sachdeva
Advances in Neural Information Processing Systems 25, 2012