Trong Nghia Hoang

Bayesian Nonparametric Federated Learning of Neural Networks

Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh et al. · arXiv (Cornell University) · 2019 · 147 citations · Full text

Artificial Intelligence, Federated Learning Problems, Expressive Global Network +12

On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method

Pu Zhao, Sijia Liu, Pin‐Yu Chen et al. · 2019 · 58 citations

Artificial Intelligence, Engineering, Machine Learning +16

A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data

Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low · 2015 · 57 citations

Nonmyopic \epsilon-Bayes-Optimal Active Learning of Gaussian Processes

Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet et al. · 2014 · 39 citations · Full text

A distributed variational inference framework for unifying parallel sparse Gaussian process regression models

Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low · International Conference on Machine Learning · 2016 · 35 citations

Variational Inference Framework, Engineering, Machine Learning +14