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. W. 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
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