papers
Publications (10)
cs.LG2018
Practical Batch Bayesian Optimization for Less Expensive Functions
Vu Nguyen, Sunil Gupta, Santu Rana +2
cs.LG2014
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts
Vu Nguyen, Dinh Phung, XuanLong Nguyen +2
cs.CV2017
Geodesic Distance Histogram Feature for Video Segmentation
Hieu Le, Vu Nguyen, Chen-Ping Yu +1
cs.LG2017
Scalable Semi-supervised Learning with Graph-based Kernel Machine
Trung Le, Khanh Nguyen, Van Nguyen +2
stat.ML2019
Accelerating Experimental Design by Incorporating Experimenter Hunches
Cheng Li, Santu Rana, Sunil Gupta +8
cs.CV2018
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
Hieu Le, Tomas F. Yago Vicente, Vu Nguyen +2
stat.ML2018
High Dimensional Bayesian Optimization Using Dropout
Cheng Li, Sunil Gupta, Santu Rana +3
cs.LG2017
Approximation Vector Machines for Large-scale Online Learning
Trung Le, Tu Dinh Nguyen, Vu Nguyen +1
cs.CV2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
Le Hou, Vu Nguyen, Dimitris Samaras +4
cs.LG2017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes
Vu Nguyen, Santu Rana, Sunil Gupta +2