Artykuły udostępnione publicznie: - Trong Nghia HoangWięcej informacji
Niedostępne w żadnym miejscu: 4
Data valuation in federated learning
Z Wu, X Xu, RHL Sim, Y Shu, X Lin, L Agussurja, Z Dai, SK Ng, CS Foo, ...
Federated Learning, 281-296, 2024
Upoważnienia: National Research Foundation, Singapore
Incentives in federated learning
RHL Sim, SS Tay, X Xu, Y Zhang, Z Wu, X Lin, SK Ng, CS Foo, P Jaillet, ...
Federated Learning, 299-309, 2024
Upoważnienia: National Research Foundation, Singapore
Federated sequential decision making: Bayesian optimization, reinforcement learning, and beyond
Z Dai, FX Fan, C Tan, TN Hoang, BKH Low, P Jaillet
Federated Learning, 257-279, 2024
Upoważnienia: National Research Foundation, Singapore
Fairness in federated learning
X Lin, X Xu, Z Wu, RHL Sim, SK Ng, CS Foo, P Jaillet, TN Hoang, ...
Federated Learning, 143-160, 2024
Upoważnienia: National Research Foundation, Singapore
Dostępne w jakimś miejscu: 23
Caster: Predicting drug interactions with chemical substructure representation
K Huang, C Xiao, T Hoang, L Glass, J Sun
Proceedings of the AAAI conference on artificial intelligence 34 (01), 702-709, 2020
Upoważnienia: US National Science Foundation, US National Institutes of Health
A unifying framework of anytime sparse Gaussian process regression models with stochastic variational inference for big data
TN Hoang, QM Hoang, BKH Low
International Conference on Machine Learning, 569-578, 2015
Upoważnienia: National Research Foundation, Singapore
On the design of black-box adversarial examples by leveraging gradient-free optimization and operator splitting method
P Zhao, S Liu, PY Chen, N Hoang, K Xu, B Kailkhura, X Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision, 121-130, 2019
Upoważnienia: US National Science Foundation
Collective online learning of Gaussian processes in massive multi-agent systems
TN Hoang, QM Hoang, KH Low, J How
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7850-7857, 2019
Upoważnienia: US Department of Defense
Near-optimal active learning of multi-output Gaussian processes
Y Zhang, TN Hoang, KH Low, M Kankanhalli
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Upoważnienia: National Research Foundation, Singapore
Collective Model Fusion for Multiple Black-Box Experts
CK Quang Minh Hoang, Trong Nghia Hoang, Bryan Kian Hsiang Low
International Conference on Machine Learning, 2742-2750, 2019
Upoważnienia: US National Institutes of Health, Gordon and Betty Moore Foundation
Ddl: Deep dictionary learning for predictive phenotyping
T Fu, TN Hoang, C Xiao, J Sun
IJCAI: proceedings of the conference 2019, 5857, 2019
Upoważnienia: US National Science Foundation, US National Institutes of Health
Scalable decision-theoretic coordination and control for real-time active multi-camera surveillance
P Natarajan, TN Hoang, Y Wong, KH Low, M Kankanhalli
Proceedings of the International Conference on Distributed Smart Cameras, 1-6, 2014
Upoważnienia: National Research Foundation, Singapore
Model fusion for personalized learning
TC Lam, N Hoang, BKH Low, P Jaillet
International Conference on Machine Learning, 5948-5958, 2021
Upoważnienia: National Research Foundation, Singapore
Recent advances in scaling up Gaussian process predictive models for large spatiotemporal data
KH Low, J Chen, TN Hoang, N Xu, P Jaillet
Dynamic Data-Driven Environmental Systems Science: First International …, 2015
Upoważnienia: National Research Foundation, Singapore
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
TN Hoang, CT Lam, KH Low, P Jaillet
International Conference on Machine Learning (ICML), 2020
Upoważnienia: US Department of Defense, A*Star, Singapore, National Research Foundation …
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems
TN Hoang, Y Xiao, K Sivakumar, C Amato, J How
International Conference on Robotics and Automation (ICRA-18), 2018
Upoważnienia: US Department of Defense
Literature mining for alternative cementitious precursors and dissolution rate modeling of glassy phases
H Uvegi, Z Jensen, TN Hoang, B Traynor, T Aytaş, RT Goodwin, ...
Journal of the American Ceramic Society 104 (7), 3042-3057, 2021
Upoważnienia: US National Science Foundation, US Department of Defense
Bayesian federated estimation of causal effects from observational data
TV Vo, Y Lee, TN Hoang, TY Leong
Uncertainty in Artificial Intelligence, 2024-2034, 2022
Upoważnienia: National Research Foundation, Singapore
Aid: Active distillation machine to leverage pre-trained black-box models in private data settings
TN Hoang, S Hong, C Xiao, B Low, J Sun
Proceedings of the Web Conference 2021, 3569-3581, 2021
Upoważnienia: US National Science Foundation, US National Institutes of Health, National …
Incentives in private collaborative machine learning
R Sim, Y Zhang, N Hoang, X Xu, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 36, 2024
Upoważnienia: National Natural Science Foundation of China, National Research Foundation …
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