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Vu Nguyen

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Accelerating Experimental Design by Incorporating Experimenter Hunches

Jul 22, 2019
Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson

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Bayesian Optimisation over Multiple Continuous and Categorical Inputs

Jun 20, 2019
Binxin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J Roberts

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Knowing The What But Not The Where in Bayesian Optimization

May 11, 2019
Vu Nguyen, Michael A. Osborne

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Practical Batch Bayesian Optimization for Less Expensive Functions

Nov 05, 2018
Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

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A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation

Jul 27, 2018
Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras

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High Dimensional Bayesian Optimization Using Dropout

Feb 15, 2018
Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton

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Approximation Vector Machines for Large-scale Online Learning

May 28, 2017
Trung Le, Tu Dinh Nguyen, Vu Nguyen, Dinh Phung

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Budgeted Batch Bayesian Optimization With Unknown Batch Sizes

Apr 15, 2017
Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, Svetha Venkatesh

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Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

Apr 10, 2017
Le Hou, Vu Nguyen, Dimitris Samaras, Tahsin M. Kurc, Yi Gao, Tianhao Zhao, Joel H. Saltz

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Scalable Semi-supervised Learning with Graph-based Kernel Machine

Apr 06, 2017
Trung Le, Khanh Nguyen, Van Nguyen, Vu Nguyen, Dinh Phung

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