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All publications by Bryan Low
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A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data
Trong N. Hoang, Quang M. Hoang and Bryan Low
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015

Inverse Reinforcement Learning with Locally Consistent Reward Functions
Quoc P. Nguyen, Bryan Low and Patrick Jaillet
Advances in Neural Information Processing Systems 28, 2015

Nonmyopic $\epsilon$-Bayes-Optimal Active Learning of Gaussian Processes
Trong N. Hoang, Bryan Low, Patrick Jaillet and Mohan Kankanhalli
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014