Huong Ha

39 papers A* 7A 5Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Empirical Study on Ensemble-Based Transfer Learning Bayesian Optimisation with Mixed Variable Types.
CoRR
Natasha Trinkle, Huong Ha, Jeffrey Chan
2025 A* conf
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings.
AAAI
Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2025 A conf
Beyond Goal Recognition: A Reinforcement Learning-based Approach to Inferring Agent Behaviour.
AAMAS
Sheryl Mantik, Michael Dann, Minyi Li, Huong Ha, Julie Porteous
2025 J jnl
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions.
CoRR
Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2025 A conf
MOCA-HESP: Meta High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-Ellipsoid Partitioning.
ECAI
Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2025 J jnl
MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning.
CoRR
Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2025 — conf
RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data.
WWW (Companion Volume)
Luan Pham, Hongyu Zhang, Huong Ha, Flora Salim, Xiuzhen Zhang
2024 — conf
Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation.
GECCO Companion
Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan
2024 J jnl
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection.
CoRR
Luan Pham, Huong Ha, Hongyu Zhang
2024 J jnl
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection.
Proc. ACM Softw. Eng.
Luan Pham, Huong Ha, Hongyu Zhang
2024 J jnl
BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings.
CoRR
Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2024 J jnl
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy.
CoRR
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang
2024 J jnl
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy.
Trans. Mach. Learn. Res.
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang
2024 J jnl
RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data.
CoRR
Luan Pham, Hongyu Zhang, Huong Ha, Flora D. Salim, Xiuzhen Zhang
2024 A* conf
Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?
ASE
Luan Pham, Huong Ha, Hongyu Zhang
2024 J jnl
Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?
CoRR
Luan Pham, Huong Ha, Hongyu Zhang
2023 J jnl
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation.
CoRR
Huong Ha, Vu Nguyen, Hongyu Zhang, Anton van den Hengel
2022 J jnl
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems.
CoRR
Huong Ha
2022 J jnl
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks.
CoRR
Huong Ha, Zongwen Fan, Hongyu Zhang
2021 J jnl
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms.
CoRR
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021 A conf
Bayesian preference learning for interactive multi-objective optimisation.
GECCO
Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li
2021 A* conf
High Dimensional Level Set Estimation with Bayesian Neural Network.
AAAI
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021 A* conf
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
ICML
Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
2021 J jnl
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces.
CoRR
Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne
2020 A conf
Distributionally Robust Bayesian Quadrature Optimization.
AISTATS
Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh
2020 J jnl
Distributionally Robust Bayesian Quadrature Optimization.
CoRR
Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh
2020 J jnl
High Dimensional Level Set Estimation with Bayesian Neural Network.
CoRR
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020 A* conf
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces.
NeurIPS
Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh
2020 J jnl
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces.
CoRR
Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh
2019 A* conf
Bayesian Optimization with Unknown Search Space.
NeurIPS
Huong Ha, Santu Rana, Sunil Gupta, Thanh Tang Nguyen, Hung Tran-The, Svetha Venkatesh
2019 J jnl
Bayesian Optimization with Unknown Search Space.
CoRR
Huong Ha, Santu Rana, Sunil Gupta, Thanh Tang Nguyen, Hung Tran-The, Svetha Venkatesh
2019 A* conf
DeepPerf: performance prediction for configurable software with deep sparse neural network.
ICSE
Huong Ha, Hongyu Zhang
2019 A conf
Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression.
ICSME
Huong Ha, Hongyu Zhang
2018 J jnl
An analysis of the SPARSEVA estimate for the finite sample data case.
Autom.
Huong Ha, James S. Welsh, Cristian R. Rojas, Bo Wahlberg
2018 J jnl
Useful redundancy in parameter and time delay estimation for continuous-time models.
Autom.
Huong Ha, James S. Welsh, Mazen Alamir
2016 — conf
Parameter and delay estimation of continuous-time models utilizing multiple filtering.
CDC
Huong Ha, James S. Welsh
2015 — conf
Model order selection for continuous time instrumental variable methods using regularization.
CDC
Huong Ha, James S. Welsh
2014 — conf
Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models.
CDC
Huong Ha, James S. Welsh
2011 — conf
Security and Privacy in E-consumer Protection in Victoria, Australia.
IFIPTM
Huong Ha