Nguyen, Quoc Phong

16 publications

ICML 2025 BILBO: BILevel Bayesian Optimization Ruth Wan Theng Chew, Quoc Phong Nguyen, Bryan Kian Hsiang Low

NeurIPS 2024 Active Set Ordering Quoc Phong Nguyen, Sunil Gupta, Svetha Venkatesh, Bryan Kian Hsiang Low, Patrick Jaillet

ICLR 2024 Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

ICLR 2024 Optimistic Bayesian Optimization with Unknown Constraints Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPS 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

AISTATS 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

NeurIPS 2022 Trade-Off Between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

AAAI 2021 An Information-Theoretic Framework for Unifying Active Learning Problems Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

UAI 2021 Learning to Learn with Gaussian Processes Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPS 2021 Optimizing Conditional Value-at-Risk of Black-Box Functions Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet

AAAI 2021 Top-K Ranking Bayesian Optimization Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet

UAI 2021 Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet

ICML 2021 Value-at-Risk Optimization with Gaussian Processes Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPS 2020 Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh

NeurIPS 2020 Variational Bayesian Unlearning Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPS 2015 Inverse Reinforcement Learning with Locally Consistent Reward Functions Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet