Vu Nguyen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy.
CoRR, 2024

2023
A New Sieving-Style Information-Set Decoding Algorithm.
IACR Cryptol. ePrint Arch., 2023

Using a Catenary Trajectory to Reduce Wellbore Friction in Horizontal Extended Reach Drilling.
CoRR, 2023

Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation.
CoRR, 2023

The application of Nano-silica gel in sealing well micro-annuli and cement channeling.
CoRR, 2023

Well Cement Degradation and Wellbore Integrity in Geological 2 CO2 Storages: A Literature Review.
CoRR, 2023

Web Page Segmentation: A DOM-Structural Cohesion Analysis Approach.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Distributionally Robust Bayesian Optimization with φ-divergences.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differential cryptanalysis of Mod-2/Mod-3 constructions of binary weak PRFs.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Spire Global's Operational GNSS-Reflectometry Constellation for Earth Surface Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Mixed-Variable Black-Box Optimisation Using Value Proposal Trees.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.
J. Artif. Intell. Res., 2022

Attacks on the Firekite cipher.
IACR Cryptol. ePrint Arch., 2022

Sampling type method combined with deep learning for inverse scattering with one incident wave.
CoRR, 2022

Confident Sinkhorn Allocation for Pseudo-Labeling.
CoRR, 2022

Ensemble approaches for Test Case Prioritization in UI testing.
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Retrieval Augmented Classification for Long-Tail Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bayesian Generational Population-Based Training.
Proceedings of the International Conference on Automated Machine Learning, 2022

2021
Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds.
CoRR, 2021

Hierarchical Indian buffet neural networks for Bayesian continual learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search.
Proceedings of the 38th International Conference on Machine Learning, 2021

Bayesian Topic Regression for Causal Inference.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Gaussian Process Bandit Optimization of theThermodynamic Variational Objective.
CoRR, 2020

One-Shot Bayes Opt with Probabilistic Population Based Training.
CoRR, 2020

Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Optimization for Iterative Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Optimisation over Multiple Continuous and Categorical Inputs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Knowing The What But Not The Where in Bayesian Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
VIETHERB: A Database for Vietnamese Herbal Species.
J. Chem. Inf. Model., 2019

Indian Buffet Neural Networks for Continual Learning.
CoRR, 2019

Clustering Automation Test Faults.
Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

Star2vec: From Subspace Embedding to Whole-Space Embedding for Intelligent Recommendation System (Extended Abstract).
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

2016
A Semi-automated Method for Capturing Consumer Preferences for System Requirements.
Proceedings of the Practice of Enterprise Modeling, 2016

2015
Piezotronic Effect: An Emerging Mechanism for Sensing Applications.
Sensors, 2015

2014
A unifying approach for the identification of application-driven stealthy attacks on mobile CPS.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2008
Optimal Superimposed Training Design for Spatially Correlated Fading MIMO Channels.
IEEE Trans. Wirel. Commun., 2008

Securing Uniqueness of Rights e-Documents: A Deontic Process Perspective.
J. Theor. Appl. Electron. Commer. Res., 2008

2007
The Design and Implementation of an Automated Security Compliance Toolkit: A Pedagogical Exercise.
J. Digit. Forensics Secur. Law, 2007


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