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2020 – today
- 2024
[j5]Luan Pham
, Huong Ha, Hongyu Zhang:
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection. Proc. ACM Softw. Eng. 1(FSE): 2214-2237 (2024)- [j4]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) - [c15]Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan:
Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation. GECCO Companion 2024: 371-374 - [c14]Luan Pham, Huong Ha, Hongyu Zhang:
Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We? ASE 2024: 706-715 - [i12]Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang:
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. CoRR abs/2402.03104 (2024) - [i11]Luan Pham, Huong Ha, Hongyu Zhang:
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection. CoRR abs/2405.09330 (2024) - [i10]Luan Pham, Huong Ha, Hongyu Zhang:
Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We? CoRR abs/2408.13729 (2024) - 2023
- [i9]Huong Ha, Vu Nguyen, Hongyu Zhang, Anton van den Hengel:
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation. CoRR abs/2306.06844 (2023) - 2022
- [i8]Huong Ha:
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems. CoRR abs/2212.08312 (2022) - [i7]Huong Ha, Zongwen Fan, Hongyu Zhang:
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks. CoRR abs/2212.13359 (2022) - 2021
- [c13]Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
High Dimensional Level Set Estimation with Bayesian Neural Network. AAAI 2021: 12095-12103 - [c12]Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li:
Bayesian preference learning for interactive multi-objective optimisation. GECCO 2021: 466-475 - [c11]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: 10663-10674 - [i6]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 abs/2102.07188 (2021) - [i5]Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms. CoRR abs/2104.04999 (2021) - 2020
- [c10]Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh:
Distributionally Robust Bayesian Quadrature Optimization. AISTATS 2020: 1921-1931 - [c9]Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh:
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces. NeurIPS 2020 - [c8]Nhung Pham, Thuong Nguyen, Thinh Tran, Trung T. Nguyen, Huong Ha, Binh T. Nguyen:
SEED: A Framework for Stress Estimation Using Emotiv Devices. SoMeT 2020: 435-446 - [i4]Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh:
Distributionally Robust Bayesian Quadrature Optimization. CoRR abs/2001.06814 (2020) - [i3]Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh:
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces. CoRR abs/2009.02539 (2020) - [i2]Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
High Dimensional Level Set Estimation with Bayesian Neural Network. CoRR abs/2012.09973 (2020)
2010 – 2019
- 2019
- [c7]Huong Ha, Hongyu Zhang:
DeepPerf: performance prediction for configurable software with deep sparse neural network. ICSE 2019: 1095-1106 - [c6]Huong Ha, Hongyu Zhang:
Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression. ICSME 2019: 470-480 - [c5]Huong Ha, Santu Rana, Sunil Gupta, Thanh Tang Nguyen, Hung Tran-The, Svetha Venkatesh:
Bayesian Optimization with Unknown Search Space. NeurIPS 2019: 11772-11781 - [i1]Huong Ha, Santu Rana, Sunil Gupta, Thanh Tang Nguyen, Hung Tran-The, Svetha Venkatesh:
Bayesian Optimization with Unknown Search Space. CoRR abs/1910.13092 (2019) - 2018
- [j3]Huong Ha, James S. Welsh, Mazen Alamir:
Useful redundancy in parameter and time delay estimation for continuous-time models. Autom. 95: 455-462 (2018) - [j2]Huong Ha, James S. Welsh, Cristian R. Rojas, Bo Wahlberg:
An analysis of the SPARSEVA estimate for the finite sample data case. Autom. 96: 141-149 (2018) - 2017
- [j1]Huong Ha:
Stakeholders' Views on Self-Regulation to Protect Consumers in E-Retailing. J. Electron. Commer. Organ. 15(3): 83-103 (2017) - 2016
- [c4]Huong Ha, James S. Welsh:
Parameter and delay estimation of continuous-time models utilizing multiple filtering. CDC 2016: 1205-1210 - 2015
- [c3]Huong Ha, James S. Welsh:
Model order selection for continuous time instrumental variable methods using regularization. CDC 2015: 771-776 - 2014
- [c2]Huong Ha, James S. Welsh:
Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models. CDC 2014: 2597-2602 - 2011
- [c1]Huong Ha:
Security and Privacy in E-consumer Protection in Victoria, Australia. IFIPTM 2011: 240-252
Coauthor Index
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