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Optimistic and Adaptive Lagrangian Hedging


Feb 03, 2021
Ryan D'Orazio, Ruitong Huang

* To be presented at the workshop on reinforcement learning and games at the AAAI 2021 conference 

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CDT: Cascading Decision Trees for Explainable Reinforcement Learning


Nov 15, 2020
Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang


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On the Sensitivity of Adversarial Robustness to Input Data Distributions


Feb 22, 2019
Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang

* ICLR 2019, Seventh International Conference on Learning Representations 

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Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training


Dec 06, 2018
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang


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Few-Shot Self Reminder to Overcome Catastrophic Forgetting


Dec 03, 2018
Junfeng Wen, Yanshuai Cao, Ruitong Huang


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Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds


Oct 31, 2018
Kry Yik Chau Lui, Gavin Weiguang Ding, Ruitong Huang, Robert J. McCann

* Neural Information Processing Systems (NIPS 2018) 
* 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montreal, Canada 

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Improving GAN Training via Binarized Representation Entropy (BRE) Regularization


May 09, 2018
Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui, Ruitong Huang

* Published as a conference paper at the 6th International Conference on Learning Representations (ICLR 2018) 

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Structured Best Arm Identification with Fixed Confidence


Jun 19, 2017
Ruitong Huang, Mohammad M. Ajallooeian, Csaba Szepesvári, Martin Müller


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Revise Saturated Activation Functions


May 02, 2016
Bing Xu, Ruitong Huang, Mu Li


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Learning with a Strong Adversary


Jan 16, 2016
Ruitong Huang, Bing Xu, Dale Schuurmans, Csaba Szepesvari


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