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.
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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 Michael A. Osborne, Michael Osborne, Jack Parker-Holder
12 papers
· 2020–2025
· ICML, NeurIPS, ICLR
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SAVA: Scalable Learning-Agnostic Data Valuation
ICLR 2025
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach
AISTATS 2024
Bayesian Generational Population-Based Training
AutoML 2022
Hierarchical Indian buffet neural networks for Bayesian continual learning
UAI 2021
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
ICML 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
ICML 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
NeurIPS 2021
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
ICML 2020
Bayesian Optimization for Iterative Learning
NeurIPS 2020
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
NeurIPS 2020
Knowing The What But Not The Where in Bayesian Optimization
ICML 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
NeurIPS 2020
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