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An Information-Theoretic Framework for Unifying Active Learning Problems


Dec 19, 2020
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

* 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Extended version with derivations, 12 pages 

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Top-$k$ Ranking Bayesian Optimization


Dec 19, 2020
Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet

* 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Extended version with derivations, 13 pages 

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Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization


Nov 17, 2020
Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh

* Accepted to 34th Conference on Neural Information Processing Systems (NeurIPS 2020). Includes Appendix. 21 pages 

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Variational Bayesian Unlearning


Oct 24, 2020
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

* 34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020), Extended version with proofs, 22 pages 

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Inverse Reinforcement Learning with Missing Data


Nov 16, 2019
Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet


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GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection


Mar 15, 2019
Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan

* to appear in 2019 IEEE Conference on Communications and Network Security (CNS) 

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