Quoc Phong Nguyen

According to our database, Quoc Phong Nguyen authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes.

Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Optimistic Bayesian Optimization with Unknown Constraints.

Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Batch Bayesian Optimization For Replicable Experimental Design.

Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities.

Sebastian Shenghong Tay, Quoc Phong Nguyen, Chuan Sheng Foo, Bryan Kian Hsiang Low

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Rectified Max-Value Entropy Search for Bayesian Optimization.

Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

CoRR, 2022

Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning.

Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten.

Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran, Mun Choon Chan, Bryan Kian Hsiang Low

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021

Trusted-maximizers entropy search for efficient Bayesian optimization.

Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Learning to learn with Gaussian processes.

Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Optimizing Conditional Value-At-Risk of Black-Box Functions.

Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Value-at-Risk Optimization with Gaussian Processes.

Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the 38th International Conference on Machine Learning, 2021

Top-k Ranking Bayesian Optimization.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

An Information-Theoretic Framework for Unifying Active Learning Problems.

Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Variational Bayesian Unlearning.

Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Inverse Reinforcement Learning with Missing Data.

Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet

CoRR, 2019

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

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

Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2015

Inverse Reinforcement Learning with Locally Consistent Reward Functions.

Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015