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Quoc Phong Nguyen
Quoc Phong Nguyen
Email verificata su deakin.edu.au - Home page
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Citata da
Citata da
Anno
GEE: A gradient-based explainable variational autoencoder for network anomaly detection
QP Nguyen, KW Lim, DM Divakaran, KH Low, MC Chan
2019 IEEE Conference on Communications and Network Security (CNS), 91-99, 2019
183*2019
Variational Bayesian Unlearning
QP Nguyen, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 33, 2020
992020
Inverse reinforcement learning with locally consistent reward functions
QP Nguyen, BKH Low, P Jaillet
Advances in neural information processing systems 28, 1747-1755, 2015
502015
Value-at-risk optimization with Gaussian processes
QP Nguyen, Z Dai, BKH Low, P Jaillet
International Conference on Machine Learning, 8063-8072, 2021
312021
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
S Balakrishnan, QP Nguyen, BKH Low, H Soh
Advances in Neural Information Processing Systems 33, 2020
272020
Markov chain monte carlo-based machine unlearning: Unlearning what needs to be forgotten
QP Nguyen, R Oikawa, DM Divakaran, MC Chan, BKH Low
Proceedings of the 2022 ACM on Asia Conference on Computer andá…, 2022
252022
Optimizing conditional Value-At-Risk of black-box functions
QP Nguyen, Z Dai, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 34, 4170-4180, 2021
212021
Top-k Ranking Bayesian Optimization
QP Nguyen, S Tay, BKH Low, P Jaillet
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9135-9143, 2021
182021
Trade-off between payoff and model rewards in Shapley-fair collaborative machine learning
QP Nguyen, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 35, 30542-30553, 2022
112022
Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization
QP Nguyen, Z Wu, BKH Low, P Jaillet
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificialá…, 2021
102021
An Information-Theoretic Framework for Unifying Active Learning Problems
QP Nguyen, BKH Low, P Jaillet
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9126-9134, 2021
102021
Estimation of recursive route choice models with incomplete trip observations
T Mai, TV Bui, QP Nguyen, TV Le
Transportation Research Part B: Methodological 173, 313-331, 2023
42023
Inverse Reinforcement Learning with Missing Data
T Mai, QP Nguyen, KH Low, P Jaillet
arXiv preprint arXiv:1911.06930, 2019
42019
Batch Bayesian Optimization for Replicable Experimental Design
Z Dai, QP Nguyen, S Tay, D Urano, R Leong, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 36, 2024
22024
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
SS Tay, QP Nguyen, CS Foo, BKH Low
International Conference on Artificial Intelligence and Statistics, 3591-3619, 2023
22023
Rectified Max-Value Entropy Search for Bayesian Optimization
QP Nguyen, BKH Low, P Jaillet
arXiv preprint arXiv:2202.13597, 2022
22022
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
QP Nguyen, BKH Low, P Jaillet
The Twelfth International Conference on Learning Representations, 2024
12024
Optimistic Bayesian Optimization with Unknown Constraints
QP Nguyen, WTR Chew, L Song, BKH Low, P Jaillet
The Twelfth International Conference on Learning Representations, 2023
12023
Learning to Learn with Gaussian Processes
QP Nguyen, BKH Low, P Jaillet
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificialá…, 2021
12021
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