Vu Nguyen

Vu Nguyen

University of Oxford

H-index: 23

Europe-United Kingdom

About Vu Nguyen

Vu Nguyen, With an exceptional h-index of 23 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Bayesian Optimisation, Machine Learning, AutoML.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach

Distributionally Robust Bayesian Optimization with -divergences

Confident sinkhorn allocation for pseudo-labeling

High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy

Method for obtaining personalized perameters for transcranial stimulation, transcranial stimulation system, method of applying transcranial stimulation

Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation

Global Contrastive Learning for Long-Tailed Classification

Mixed-Variable Black-Box Optimisation Using Value Proposal Trees

Vu Nguyen Information

University

Position

___

Citations(all)

1461

Citations(since 2020)

1262

Cited By

574

hIndex(all)

23

hIndex(since 2020)

21

i10Index(all)

38

i10Index(since 2020)

31

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Vu Nguyen Skills & Research Interests

Bayesian Optimisation

Machine Learning

AutoML

Top articles of Vu Nguyen

Title

Journal

Author(s)

Publication Date

Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach

Masaki Adachi

Satoshi Hayakawa

Martin Jørgensen

Xingchen Wan

Vu Nguyen

...

2024/4

Distributionally Robust Bayesian Optimization with -divergences

Advances in Neural Information Processing Systems

Hisham Husain

Vu Nguyen

Anton van den Hengel

2024/2/13

Confident sinkhorn allocation for pseudo-labeling

arXiv preprint arXiv:2206.05880

Vu Nguyen

Hisham Husain

Sachin Farfade

Anton van den Hengel

2024/2/13

High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy

arXiv preprint arXiv:2402.03104

Lam Ngo

Huong Ha

Jeffrey Chan

Vu Nguyen

Hongyu Zhang

2024/2/5

Method for obtaining personalized perameters for transcranial stimulation, transcranial stimulation system, method of applying transcranial stimulation

2023/6/22

Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation

arXiv preprint arXiv:2306.06844

Huong Ha

Vu Nguyen

Hongyu Zhang

Anton van den Hengel

2023/6/12

Global Contrastive Learning for Long-Tailed Classification

Transactions on Machine Learning Research

Thong Bach

Anh Tong

Truong Son Hy

Vu Nguyen

Thanh Nguyen-Tang

2023/5/29

Mixed-Variable Black-Box Optimisation Using Value Proposal Trees

Proceedings of the AAAI Conference on Artificial Intelligence

Yan Zuo

Vu Nguyen

Amir Dezfouli

David Alexander

Benjamin Ward Muir

...

2023/1

Automated reinforcement learning (autorl): A survey and open problems

Raghu Rajan

Jack Parker-Holder

Xingyou Song

André Biedenkapp

Yingjie Miao

...

2023/8/15

Retrieval Augmented Classification for Long-Tail Visual Recognition

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Alexander Long

Wei Yin

Thalaiyasingam Ajanthan

Vu Nguyen

Pulak Purkait

...

2022/2/22

Bayesian generational population-based training

Xingchen Wan

Cong Lu

Jack Parker-Holder

Philip J Ball

Vu Nguyen

...

2022/9/19

Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds

arXiv preprint arXiv:2110.12087

Vu Nguyen

Marc Peter Deisenroth

Michael A Osborne

2021/10/22

Personalized brain stimulation for effective neurointervention across participants

PLoS computational biology

Nienke ER van Bueren

Thomas L Reed

Vu Nguyen

James G Sheffield

Sanne HG van der Ven

...

2021/9/9

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

Advances in Neural Information Processing Systems

Jack Parker-Holder

Vu Nguyen

Shaan Desai

Stephen J Roberts

2021/12/6

Bayesian Topic Regression for Causal Inference

Maximilian Ahrens

Julian Ashwin

Jan-Peter Calliess

Vu Nguyen

2021/9/1

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

International Conference on Machine Learning (ICML)

Xingchen Wan

Vu Nguyen

Huong Ha

Binxin Ru

Cong Lu

...

2021/12/14

Deep reinforcement learning for efficient measurement of quantum devices

npj Quantum Information

V Nguyen

SB Orbell

Dominic T Lennon

Hyungil Moon

Florian Vigneau

...

2021/6/18

Optimal transport kernels for sequential and parallel neural architecture search

Vu Nguyen

Tam Le

Makoto Yamada

Michael A Osborne

2021/11/1

Simulation-based optimisation to quantify heterogeneity of specific ventilation and perfusion in the lung by the inspired sinewave test

Scientific reports

MC Tran

V Nguyen

Richard Bruce

DC Crockett

Federico Formenti

...

2021/6/16

Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning

Samuel Kessler

Vu Nguyen

Stefan Zohren

Stephen J Roberts

2021/12/1

See List of Professors in Vu Nguyen University(University of Oxford)

Co-Authors

H-index: 100
Stephen Roberts

Stephen Roberts

University of Oxford

H-index: 82
G A D Briggs

G A D Briggs

University of Oxford

H-index: 82
Frank Hutter

Frank Hutter

Albert-Ludwigs-Universität Freiburg

H-index: 78
Svetha Venkatesh

Svetha Venkatesh

Deakin University

H-index: 63
Roi Cohen Kadosh

Roi Cohen Kadosh

University of Oxford

H-index: 47
Dinh Phung

Dinh Phung

Monash University

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