Yaodong Yu
Yaodong Yu
Geverifieerd e-mailadres voor berkeley.edu - Homepage
Titel
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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
8672019
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
882019
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
Z Yang, Y Yu, C You, J Steinhardt, Y Ma
International Conference on Machine Learning. PMLR, 2020: 10767-10777., 2020
662020
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
312018
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
282018
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Y Yu, KHR Chan, C You, C Song, Y Ma
Advances in Neural Information Processing Systems, 2020, 33., 2020
242020
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition, 129-153, 2020
142020
Saving Gradient and Negative Curvature Computations: Finding Local Minima More Efficiently
Y Yu, D Zou, Q Gu
arXiv preprint arXiv:1712.03950, 2017
142017
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
12*2018
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
KHR Chan, Y Yu, C You, H Qi, J Wright, Y Ma
arXiv preprint arXiv:2105.10446, 2021
72021
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
72020
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization
Y Yu, T Lin, E Mazumdar, MI Jordan
arXiv preprint arXiv:2104.13326, 2021
62021
Deep Networks from the Principle of Rate Reduction
KHR Chan, Y Yu, C You, H Qi, J Wright, Y Ma
arXiv preprint arXiv:2010.14765, 2020
62020
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging
CJ Li, Y Yu, N Loizou, G Gidel, Y Ma, NL Roux, MI Jordan
arXiv preprint arXiv:2107.00464, 2021
32021
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition
Y Yu, Z Yang, E Dobriban, J Steinhardt, Y Ma
arXiv preprint arXiv:2103.09947, 2021
32021
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients
Y Huang, Y Yu, H Zhang, Y Ma, Y Yao
arXiv preprint arXiv:2009.13145, 2020
32020
Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point Problem.
Y Yu, S Liu, SJ Pan
UAI, 2017
22017
The Effect of Model Size on Worst-Group Generalization
A Pham, E Chan, V Srivatsa, D Ghosh, Y Yang, Y Yu, R Zhong, ...
arXiv preprint arXiv:2112.04094, 2021
2021
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Artikelen 1–18