Yik Chau (Kry) Lui



MSc Mathematics, University of Toronto


July 18, 2021 Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets
Workshop at the International Conference on Machine Learning (ICML), 2021
Authors: *Y. Gao, K. Y. C. Lui , P. Hernandez-Leal
* Denotes equal contribution
April 30, 2020 Max-Margin Adversarial Training: Direct Input Space Margin Maximization through Adversarial Training
International Conference on Learning Representations (ICLR), 2020
Authors: G. W. Ding , Y. Sharma, K. Lui , R. Huang
May 6, 2019 On the Sensitivity of Adversarial Robustness to Input Data Distributions
International Conference on Learning Representations (ICLR), 2019
Authors: G. Weiguang Ding , K. Y. C. Lui , T. Jin, L. Wang, R. Huang
Dec. 3, 2018 Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
Neural Information Processing Systems (NeurIPS), 2018
Authors: K. Lui , G. W. Ding , R. Huang, R.J. McCann
April 30, 2018 Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
International Conference on Learning Representations (ICLR), 2018
Authors: Y. Cao , G. W. Ding , K. Lui , R. Huang
Aug. 6, 2017 Implicit Manifold Learning on Generative Adversarial Networks
Workshop on Implicit Models (ICML), 2017
Authors: K. Lui , Y. Cao , M. Gazeau, K. S. Zhang