Huong Ha

Orcid: 0000-0003-2463-7770

According to our database1, Huong Ha authored at least 24 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy.
Trans. Mach. Learn. Res., 2024

BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection.
Proc. ACM Softw. Eng., 2024

Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?
CoRR, 2024

Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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

2022
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks.
CoRR, 2022

An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems.
CoRR, 2022

2021
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms.
CoRR, 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

Bayesian preference learning for interactive multi-objective optimisation.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

High Dimensional Level Set Estimation with Bayesian Neural Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
SEED: A Framework for Stress Estimation Using Emotiv Devices.
Proceedings of the Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques, 2020

Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distributionally Robust Bayesian Quadrature Optimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Bayesian Optimization with Unknown Search Space.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

DeepPerf: performance prediction for configurable software with deep sparse neural network.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
An analysis of the SPARSEVA estimate for the finite sample data case.
Autom., 2018

Useful redundancy in parameter and time delay estimation for continuous-time models.
Autom., 2018

2017
Stakeholders' Views on Self-Regulation to Protect Consumers in E-Retailing.
J. Electron. Commer. Organ., 2017

2016
Parameter and delay estimation of continuous-time models utilizing multiple filtering.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Model order selection for continuous time instrumental variable methods using regularization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2011
Security and Privacy in E-consumer Protection in Victoria, Australia.
Proceedings of the Trust Management V, 5th IFIP WG 11.11 International Conference, 2011


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