Huong Ha
Huong Ha
Lecturer of Computer Science, School of Computing Technologies, RMIT University
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DeepPerf: performance prediction for configurable software with deep sparse neural network
H Ha, H Zhang
The 41st International Conference on Software Engineering (ICSE'19), 1095-1106, 2019
Bayesian Optimization with Unknown Search Space
H Ha, S Rana, S Gupta, T Nguyen, H Tran-The, S Venkatesh
Advances in Neural Information Processing Systems (NeurIPS'19), 2019
Distributionally Robust Bayesian Quadrature Optimization
TT Nguyen, S Gupta, H Ha, S Rana, S Venkatesh
International Conference on Artificial Intelligence and Statistics (AISTATS'20), 2020
Useful redundancy in parameter and time delay estimation for continuous-time models
H Ha, JS Welsh, M Alamir
Automatica 95, 455-462, 2018
Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression
H Ha, H Zhang
International Conference on Software Maintenance and Evolution (ICSME'19 …, 2019
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
X Wan, V Nguyen, H Ha, B Ru, C Lu, MA Osborne
International Conference on Machine Learning (ICML'21), 2021
Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models
H Ha, JS Welsh
2014 IEEE 53rd Annual Conference on Decision and Control (CDC), 2597-2602, 2014
Reweighted nuclear norm regularization: A SPARSEVA approach
H Ha, JS Welsh, N Blomberg, CR Rojas, B Wahlberg
2015 IFAC Symposium on System Identification (SYSID) 48 (28), 1172-1177, 2015
Parameter and delay estimation of continuous-time models utilizing multiple filtering
H Ha, JS Welsh
2016 IEEE 55th Annual Conference on Decision and Control (CDC), 1205-1210, 2016
Model Order Selection for Continuous Time Instrumental Variable Methods Using Regularization
H Ha, JS Welsh
2015 IEEE 54th Annual Conference on Decision and Control (CDC), 771-776, 2015
An analysis of the SPARSEVA estimate for the finite sample data case
H Ha, JS Welsh, CR Rojas, B Wahlberg
Automatica 96, 141-149, 2018
High Dimensional Level Set Estimation with Bayesian Neural Network
H Ha, S Gupta, S Rana, S Venkatesh
The 35th AAAI Conference on Artificial Intelligence (AAAI'21), 2021
Bayesian preference learning for interactive multi-objective optimisation
K Taylor, H Ha, M Li, J Chan, X Li
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2021
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms
H Ha, S Gupta, S Rana, S Venkatesh
RobustML workshop at ICLR'21, 2021
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
H Tran-The, S Gupta, S Rana, H Ha, S Venkatesh
Advances in Neural Information Processing Systems (NeurIPS'20), 2020
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