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Vu Nguyen

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High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy

Feb 05, 2024
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang

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Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation

Jun 12, 2023
Huong Ha, Vu Nguyen, Hongyu Zhang, Anton van den Hengel

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Zero-shot Object Counting

Mar 03, 2023
Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras

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Bayesian Generational Population-Based Training

Jul 19, 2022
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne

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Confident Sinkhorn Allocation for Pseudo-Labeling

Jun 13, 2022
Vu Nguyen, Sachin Farfade, Anton van den Hengel

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Distributionally Robust Bayesian Optimization with $φ$-divergences

Mar 04, 2022
Hisham Husain, Vu Nguyen, Anton van den Hengel

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Retrieval Augmented Classification for Long-Tail Visual Recognition

Feb 22, 2022
Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel

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Automated Reinforcement Learning (AutoRL): A Survey and Open Problems

Jan 11, 2022
Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer

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Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds

Oct 22, 2021
Vu Nguyen, Marc Peter Deisenroth, Michael A. Osborne

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Bayesian Topic Regression for Causal Inference

Sep 11, 2021
Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen

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