Tengyu MA
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A simple but tough-to-beat baseline for sentence embeddings
S Arora, Y Liang, T Ma
ICLR 2017, 2016
6762016
Matrix Completion has No Spurious Local Minimum
R Ge, JD Lee, T Ma
NIPS 2016 (best student paper). arXiv preprint arXiv:1605.07272, 2016
4242016
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
S Arora, R Ge, Y Liang, T Ma, Y Zhang
ICML 2017;arXiv preprint arXiv:1703.00573, 2017, 2017
3452017
Provable bounds for learning some deep representations
S Arora, A Bhaskara, R Ge, T Ma
International Conference on Machine Learning, 584-592, 2014
3052014
A latent variable model approach to pmi-based word embeddings
S Arora, Y Li, Y Liang, T Ma, A Risteski
Transactions of the Association for Computational Linguistics 4, 385-399, 2016
252*2016
Identity Matters in Deep Learning
M Hardt, T Ma
ICLR 2017, 2016
2212016
Finding Approximate Local Minima for Nonconvex Optimization in Linear Time
N Agarwal, Z Allen-Zhu, B Bullins, E Hazan, T Ma
STOC 2017, 2016
210*2016
Simple, efficient, and neural algorithms for sparse coding
S Arora, R Ge, T Ma, A Moitra
Conference on Learning Theory (COLT) 2015. arXiv preprint arXiv:1503.00778, 2015
1622015
Learning one-hidden-layer neural networks with landscape design
R Ge, JD Lee, T Ma
ICLR 2017; arXiv preprint arXiv:1711.00501, 2017
1442017
Gradient descent learns linear dynamical systems
M Hardt, T Ma, B Recht
The Journal of Machine Learning Research 19 (1), 1025-1068, 2018
1362018
Algorithmic Regularization in Over-parameterized Matrix Recovery and Neural Networks with Quadratic Activations
Y Li, T Ma, H Zhang
COLT 2018 (best paper); arXiv preprint arXiv:1712.09203, 2017
111*2017
Linear algebraic structure of word senses, with applications to polysemy
S Arora, Y Li, Y Liang, T Ma, A Risteski
arXiv preprint arXiv:1601.03764, 2016
1112016
Fixup initialization: Residual learning without normalization
H Zhang, YN Dauphin, T Ma
arXiv preprint arXiv:1901.09321, 2019
922019
Distributed stochastic variance reduced gradient methods by sampling extra data with replacement
JD Lee, Q Lin, T Ma, T Yang
The Journal of Machine Learning Research 18 (1), 4404-4446, 2017
87*2017
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
TM Colin Wei, Jason D. Lee, Qiang Liu
arXiv preprint arXiv:1810.05369, 2019
84*2019
Communication lower bounds for statistical estimation problems via a distributed data processing inequality
M Braverman, A Garg, T Ma, HL Nguyen, DP Woodruff
48th Annual Symposium on the Theory of Computing (STOC), 2016. arXiv …, 2015
812015
Polynomial-time tensor decompositions with sum-of-squares
T Ma, J Shi, D Steurer
57th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2016 …, 2016
652016
On the Optimization Landscape of Tensor Decompositions
R Ge, T Ma
NIPS'17 (oral); arXiv preprint arXiv:1706.05598, 2017
632017
Learning imbalanced datasets with label-distribution-aware margin loss
K Cao, C Wei, A Gaidon, N Arechiga, T Ma
Advances in Neural Information Processing Systems, 1567-1578, 2019
542019
On communication cost of distributed statistical estimation and dimensionality
A Garg, T Ma, H Nguyen
Advances in Neural Information Processing Systems (NIPS'14), 2726-2734, 2014
512014
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Artiklar 1–20