Vu Nguyen
35 papers · 2016–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Vu Nguyen?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Sunil Gupta, Santu Rana, Svetha Venkatesh
6 papers
· 2016–2025
· ACML, AISTATS, NeurIPS
Hide ▲
High Dimensional Bayesian Optimization using Lasso Variable Selection
AISTATS 2025
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation
NeurIPS 2018
High Dimensional Bayesian Optimization using Dropout
IJCAI 2017
High Dimensional Bayesian Optimization with Elastic Gaussian Process
ICML 2017
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition
ACML 2017
A Bayesian Nonparametric Approach for Multi-label Classification
ACML 2016
5 papers whose co-authors appear nowhere else under this name
MUSS: Multilevel Subset Selection for Relevance and Diversity
UAI 2026
Asian Conference on Machine Learning: Preface
ACML 2024
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees
AAAI 2023
Bayesian Topic Regression for Causal Inference
EMNLP 2021
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning
IJCAI 2018