Vu Nguyen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 63

Top Topics

Gaussian Process

Diffusion Models

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
Rejection via Learning Density Ratios. CoRR (2024)
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. Trans. Mach. Learn. Res. 2024 (2024)
Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. AISTATS (2024)
Diep Tran, Quyen Tran, Quy Tran, Vu Nguyen, Minh-Triet Tran
Enhancing Financial Market Prediction with Reinforcement Learning and Ensemble Learning. AIAI (2) (2024)
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. CoRR (2024)
Samuel Kessler, Tam Le, Vu Nguyen
SAVA: Scalable Learning-Agnostic Data Valuation. CoRR (2024)
Tri Le, Thien Tran, Duy Cao, Vy Le, Tien Nguyen, Vu Nguyen
KAT: Dependency-aware Automated API Testing with Large Language Models. CoRR (2024)
Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen
Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CoRR (2024)
Huy Phan, Byeonggeun Kim, Vu Nguyen, Andrew Bydlon, Qingming Tang, Chieh-Chi Kao, Chao Wang
Cross-Triggering Issue in Audio Event Detection and Mitigation. ICASSP (2024)
Philip Jales, Jessica Cartwright, Matthieu Talpe, Jake Mashburn, Takayuki Yuasa, Oleguer Nogués-Correig, Vu Nguyen, Vahid Freeman
Spire Global's Operational GNSS-Reflectometry Constellation for Earth Surface Observations. IGARSS (2023)
Qian Guo, Thomas Johansson, Vu Nguyen
A New Sieving-Style Information-Set Decoding Algorithm. IACR Cryptol. ePrint Arch. 2023 (2023)
Huong Ha, Vu Nguyen, Hongyu Zhang, Anton van den Hengel
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation. CoRR (2023)
Vu Nguyen
Using a Catenary Trajectory to Reduce Wellbore Friction in Horizontal Extended Reach Drilling. CoRR (2023)
Thomas Johansson, Willi Meier, Vu Nguyen
Differential cryptanalysis of Mod-2/Mod-3 constructions of binary weak PRFs. ISIT (2023)
Yan Zuo, Vu Nguyen, Amir Dezfouli, David Alexander, Benjamin Ward Muir, Iadine Chades
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees. AAAI (2023)
Mahdi Attawna, Tung V. Doan, Vu Nguyen, Frank H. P. Fitzek, Giang T. Nguyen
Leveraging Data Plane Acceleration for Network Coding Deployment: A Measurement Study. NFV-SDN (2023)
Olatunji Olayiwola, Vu Nguyen, Randy Andres, Ning Liu
The application of Nano-silica gel in sealing well micro-annuli and cement channeling. CoRR (2023)
Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang
Global Contrastive Learning for Long-Tailed Classification. Trans. Mach. Learn. Res. 2023 (2023)
Hisham Husain, Vu Nguyen, Anton van den Hengel
Distributionally Robust Bayesian Optimization with φ-divergences. NeurIPS (2023)
Minh-Hieu Huynh, Quoc-Tri Le, Vu Nguyen, Tien Nguyen
Web Page Segmentation: A DOM-Structural Cohesion Analysis Approach. WISE (2023)
Vu Nguyen, Olatunji Olayiwola, Boyun Guo, Ning Liu
Well Cement Degradation and Wellbore Integrity in Geological 2 CO2 Storages: A Literature Review. CoRR (2023)
Cuong Nguyen, Huy Bui, Vu Nguyen, Tien Nguyen
An Approach to Generating API Test Scripts Using GPT. SoICT (2023)
Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR (2022)
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
Bayesian Generational Population-Based Training. AutoML (2022)
Thomas Johansson, Willi Meier, Vu Nguyen
Attacks on the Firekite Cipher. IACR Trans. Symmetric Cryptol. 2022 (3) (2022)
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
Bayesian Generational Population-Based Training. CoRR (2022)
Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel
Retrieval Augmented Classification for Long-Tail Visual Recognition. CVPR (2022)
Tri Cao, Tuan Vu, Huyen Le, Vu Nguyen
Ensemble approaches for Test Case Prioritization in UI testing. SEKE (2022)
Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel
Retrieval Augmented Classification for Long-Tail Visual Recognition. CoRR (2022)
Thomas Johansson, Willi Meier, Vu Nguyen
Attacks on the Firekite cipher. IACR Cryptol. ePrint Arch. 2022 (2022)
Thu Le, Dinh-Liem Nguyen, Vu Nguyen, Trung Truong
Sampling type method combined with deep learning for inverse scattering with one incident wave. CoRR (2022)
Vu Nguyen, Sachin Farfade, Anton van den Hengel
Confident Sinkhorn Allocation for Pseudo-Labeling. CoRR (2022)
Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 74 (2022)
Hisham Husain, Vu Nguyen, Anton van den Hengel
Distributionally Robust Bayesian Optimization with φ-divergences. CoRR (2022)
Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts
Hierarchical Indian buffet neural networks for Bayesian continual learning. UAI (2021)
Hoang-Gia Nguyen, Hoang-Dat Le, Vu Nguyen
Prioritizing automated test cases of Web applications using reinforcement learning: an enhancement. KSE (2021)
Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen
Bayesian Topic Regression for Causal Inference. CoRR (2021)
Nienke E. R. van Bueren, Thomas L. Reed, Vu Nguyen, James G. Sheffield, Sanne H. G. van der Ven, Michael A. Osborne, Evelyn H. Kroesbergen, Roi Cohen Kadosh
Personalized brain stimulation for effective neurointervention across participants. PLoS Comput. Biol. 17 (9) (2021)
Vu Nguyen, Marc Peter Deisenroth, Michael A. Osborne
Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds. CoRR (2021)
Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. ICML (2021)
Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen
Bayesian Topic Regression for Causal Inference. EMNLP (1) (2021)
Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. ICML (2021)
Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. CoRR (2021)
Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen J. Roberts
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL. CoRR (2021)
Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen J. Roberts
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL. NeurIPS (2021)
Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. CoRR (2020)
Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective. NeurIPS (2020)
Vu Nguyen, Michael A. Osborne
Knowing The What But Not The Where in Bayesian Optimization. ICML (2020)
Jack Parker-Holder, Vu Nguyen, Stephen J. Roberts
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits. NeurIPS (2020)
Kiet Van Nguyen, Vu Nguyen, Anh Hoang-Tu Nguyen, Ngan Luu-Thuy Nguyen
A Vietnamese Dataset for Evaluating Machine Reading Comprehension. COLING (2020)
Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts
Bayesian Optimisation over Multiple Continuous and Categorical Inputs. ICML (2020)
Vu Nguyen, Sebastian Schulze, Michael A. Osborne
Bayesian Optimization for Iterative Learning. NeurIPS (2020)
Jack Parker-Holder, Vu Nguyen, Stephen Roberts
One-Shot Bayes Opt with Probabilistic Population Based Training. CoRR (2020)
Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood
Gaussian Process Bandit Optimization of theThermodynamic Variational Objective. CoRR (2020)
Vu Nguyen, Sebastian Schulze, Michael A. Osborne
Bayesian Optimization for Iterative Learning. CoRR (2019)
Quang Nguyen, Vu Nguyen, Doi Tran, Trung Mai, Tho Quan
Star2vec: From Subspace Embedding to Whole-Space Embedding for Intelligent Recommendation System (Extended Abstract). CSoNet (2019)
Thanh-Hoang Nguyen-Vo, Tri Le, Duy Pham, Tri Nguyen, Phuc Le, An Nguyen, Thanh Nguyen, Thien-Ngan Nguyen, Vu Nguyen, Hai Do, Khang Trinh, Trong Hai Duong, Ly Le
VIETHERB: A Database for Vietnamese Herbal Species. J. Chem. Inf. Model. 59 (1) (2019)
Xuan-Vinh Nguyen, Phu-Khoa Nguyen, Vu Nguyen
Clustering Automation Test Faults. KSE (2019)
Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen Roberts
Indian Buffet Neural Networks for Continual Learning. CoRR (2019)
Duc Huu Dat Nguyen, Loc Phuoc Tran, Vu Nguyen
Predicting Stock Prices Using Dynamic LSTM Models. ICAI (2019)
Vu Nguyen, Michael A. Osborne
Knowing The What But Not The Where in Bayesian Optimization. CoRR (2019)
Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts
Bayesian Optimisation over Multiple Continuous and Categorical Inputs. CoRR (2019)
Vu Nguyen, Eric-Oluf Svee, Jelena Zdravkovic
A Semi-automated Method for Capturing Consumer Preferences for System Requirements. PoEM (2016)
Kory Jenkins, Vu Nguyen, Ren Zhu, Rusen Yang
Piezotronic Effect: An Emerging Mechanism for Sensing Applications. Sensors 15 (9) (2015)
Vu Nguyen, Mina Guirguis, George K. Atia
A unifying approach for the identification of application-driven stealthy attacks on mobile CPS. Allerton (2014)
Ronald M. Lee, Vu Nguyen, Anastasia Pagnoni
Securing Uniqueness of Rights e-Documents: A Deontic Process Perspective. J. Theor. Appl. Electron. Commer. Res. 3 (3) (2008)
Vu Nguyen, Hoang Duong Tuan, Ha H. Nguyen, Nam Tran Nguyen
Optimal Superimposed Training Design for Spatially Correlated Fading MIMO Channels. IEEE Trans. Wirel. Commun. 7 (8) (2008)
Guillermo Francia III, Brian Estes, Rahjima R. Francia, Vu Nguyen, Alex Scroggins
The design and implementation of an automated security compliance toolkit: a pedagogical exercise. InfoSecCD (2007)
Guillermo Francia III, Brian Estes, Rahjima R. Francia, Vu Nguyen, Alex Scroggins
The Design and Implementation of an Automated Security Compliance Toolkit: A Pedagogical Exercise. J. Digit. Forensics Secur. Law 2 (4) (2007)