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Trong Nghia Hoang

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CASTER: Predicting Drug Interactions with Chemical Substructure Representation

Nov 20, 2019
Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun

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Statistical Model Aggregation via Parameter Matching

Nov 01, 2019
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang

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Bayesian Nonparametric Federated Learning of Neural Networks

May 28, 2019
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang, Yasaman Khazaeni

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Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems

May 23, 2018
Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan How

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Decentralized High-Dimensional Bayesian Optimization with Factor Graphs

Jan 24, 2018
Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang, Kian Hsiang Low

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Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models

Nov 01, 2017
Haibin Yu, Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet

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Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems

Oct 17, 2017
Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan How

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A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression

Nov 18, 2016
Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low

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Near-Optimal Active Learning of Multi-Output Gaussian Processes

Nov 24, 2015
Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan Kankanhalli

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