Yaodong Yu
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Theoretically Principled Trade-off between Robustness and Accuracy
H Zhang, Y Yu, J Jiao, EP Xing, LE Ghaoui, MI Jordan
International Conference on Machine Learning, 7472-7482, 2019
Learning One-hidden-layer ReLU Networks via Gradient Descent
X Zhang, Y Yu, L Wang, Q Gu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition, 129-153, 2020
Data Poisoning Attacks on Multi-Task Relationship Learning
M Zhao, B An, Y Yu, S Liu, SJ Pan
Proceedings of the 32nd AAAI Conference on Artificial Intelligence, 2628-2635, 2018
A primal-dual analysis of global optimality in nonconvex low-rank matrix recovery
X Zhang, L Wang, Y Yu, Q Gu
International conference on machine learning, 5857-5866, 2018
Saving Gradient and Negative Curvature Computations: Finding Local Minima More Efficiently
Y Yu, D Zou, Q Gu
arXiv preprint arXiv:1712.03950, 2017
Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima
Y Yu, P Xu, Q Gu
Advances in Neural Information Processing Systems, 4530-4540, 2018
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
Z Yang, Y Yu, C You, J Steinhardt, Y Ma
arXiv preprint arXiv:2002.11328, 2020
Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem.
Y Yu, S Liu, SJ Pan
UAI, 2017
Boundary thickness and robustness in learning models
Y Yang, R Khanna, Y Yu, A Gholami, K Keutzer, JE Gonzalez, ...
arXiv preprint arXiv:2007.05086, 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Y Yu, KHR Chan, C You, C Song, Y Ma
arXiv preprint arXiv:2006.08558, 2020
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