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Deep Networks from the Principle of Rate Reduction

Oct 27, 2020
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma

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Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients

Sep 28, 2020
Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao

* 16 pages 

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Boundary thickness and robustness in learning models

Jul 09, 2020
Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney

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Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction

Jun 15, 2020
Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma

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Rethinking Bias-Variance Trade-off for Generalization of Neural Networks

Mar 21, 2020
Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma

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Theoretically Principled Trade-off between Robustness and Accuracy

Jan 24, 2019
Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan

* Technical details of the winning entry to the NeurIPS 2018 Adversarial Vision Challenge 

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Learning One-hidden-layer ReLU Networks via Gradient Descent

Jun 20, 2018
Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu

* 26 pages, 2 figures 

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Third-order Smoothness Helps: Even Faster Stochastic Optimization Algorithms for Finding Local Minima

Dec 18, 2017
Yaodong Yu, Pan Xu, Quanquan Gu

* 25 pages 

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Saving Gradient and Negative Curvature Computations: Finding Local Minima More Efficiently

Dec 11, 2017
Yaodong Yu, Difan Zou, Quanquan Gu

* 31 pages, 1 table 

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