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Confident Sinkhorn Allocation for Pseudo-Labeling



Vu Nguyen , Sachin Farfade , Anton van den Hengel

* 23 pages 

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Distributionally Robust Bayesian Optimization with $φ$-divergences



Hisham Husain , Vu Nguyen , Anton van den Hengel

* 16 pages 

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Retrieval Augmented Classification for Long-Tail Visual Recognition



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



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



Vu Nguyen , Marc Peter Deisenroth , Michael A. Osborne

* 19 pages 

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Bayesian Topic Regression for Causal Inference



Maximilian Ahrens , Julian Ashwin , Jan-Peter Calliess , Vu Nguyen

* accepted as a conference paper at EMNLP 2021 

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Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL



Jack Parker-Holder , Vu Nguyen , Shaan Desai , Stephen Roberts


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Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces



Xingchen Wan , Vu Nguyen , Huong Ha , Binxin Ru , Cong Lu , Michael A. Osborne

* 9 page, 6 figures (26 pages, 13 figures, 2 tables including references and appendices) 

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Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective



Vu Nguyen , Vaden Masrani , Rob Brekelmans , Michael A. Osborne , Frank Wood

* NeurIPS 2020 

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Gaussian Process Bandit Optimization of theThermodynamic Variational Objective



Vu Nguyen , Vaden Masrani , Rob Brekelmans , Michael A. Osborne , Frank Wood

* NeurIPS 2020 

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