Hoang, Nghia

8 publications

NeurIPS 2023 Incentives in Private Collaborative Machine Learning Rachael Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet

AISTATS 2022 Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis

ICML 2021 Model Fusion for Personalized Learning Thanh Chi Lam, Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet

ICML 2020 Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion Nghia Hoang, Thanh Lam, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPS 2020 Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes Minh Hoang, Nghia Hoang, Hai Pham, David Woodruff

ICML 2019 Bayesian Nonparametric Federated Learning of Neural Networks Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang, Yasaman Khazaeni

ICML 2019 Collective Model Fusion for Multiple Black-Box Experts Minh Hoang, Nghia Hoang, Bryan Kian Hsiang Low, Carleton Kingsford

NeurIPS 2019 Statistical Model Aggregation via Parameter Matching Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang