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Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback



Trong Nghia Hoang , Anoop Deoras , Tong Zhao , Jin Li , George Karypis

* AISTATS-22 

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Adaptive Multi-Source Causal Inference



Thanh Vinh Vo , Pengfei Wei , Trong Nghia Hoang , Tze-Yun Leong

* Preprint 

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Federated Estimation of Causal Effects from Observational Data



Thanh Vinh Vo , Trong Nghia Hoang , Young Lee , Tze-Yun Leong

* Preprint 

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Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes



Quang Minh Hoang , Trong Nghia Hoang , Hai Pham , David P. Woodruff


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CHEER: Rich Model Helps Poor Model via Knowledge Infusion



Cao Xiao , Trong Nghia Hoang , Shenda Hong , Tengfei Ma , Jimeng Sun

* Published in TKDE 

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CASTER: Predicting Drug Interactions with Chemical Substructure Representation



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

* Accepted by AAAI 2020 

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Statistical Model Aggregation via Parameter Matching



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

* NeurIPS 2019 

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Bayesian Nonparametric Federated Learning of Neural Networks



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

* ICML 2019 

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



Trong Nghia Hoang , Quang Minh Hoang , Kian Hsiang Low , Jonathan How

* Under review for NIPS-18 

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