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Kry Yik Chau Lui
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 9
Top Topics
Reinforcement Learning Agents
Contingency Tables
Regret Bounds
Dimensionality Reduction
Top Venues
CoRR
ICLR
ICLR (Poster)
NeurIPS
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Publications
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Sicong Huang
,
Jiawei He
,
Kry Yik Chau Lui
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection.
CoRR
(2024)
Yue Gao
,
Kry Yik Chau Lui
,
Pablo Hernandez-Leal
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets.
CoRR
(2021)
Gavin Weiguang Ding
,
Yash Sharma
,
Kry Yik Chau Lui
,
Ruitong Huang
MMA Training: Direct Input Space Margin Maximization through Adversarial Training.
ICLR
(2020)
Gavin Weiguang Ding
,
Kry Yik Chau Lui
,
Xiaomeng Jin
,
Luyu Wang
,
Ruitong Huang
On the Sensitivity of Adversarial Robustness to Input Data Distributions.
CoRR
(2019)
Gavin Weiguang Ding
,
Kry Yik Chau Lui
,
Xiaomeng Jin
,
Luyu Wang
,
Ruitong Huang
On the Sensitivity of Adversarial Robustness to Input Data Distributions.
ICLR (Poster)
(2019)
Gavin Weiguang Ding
,
Kry Yik Chau Lui
,
Xiaomeng Jin
,
Luyu Wang
,
Ruitong Huang
On the Sensitivity of Adversarial Robustness to Input Data Distributions.
CVPR Workshops
(2019)
Gavin Weiguang Ding
,
Yash Sharma
,
Kry Yik Chau Lui
,
Ruitong Huang
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training.
CoRR
(2018)
Kry Yik Chau Lui
,
Gavin Weiguang Ding
,
Ruitong Huang
,
Robert J. McCann
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds.
NeurIPS
(2018)
Kry Yik Chau Lui
,
Gavin Weiguang Ding
,
Ruitong Huang
,
Robert J. McCann
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds.
CoRR
(2018)