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Quang Minh Hoang
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Year
A unifying framework of anytime sparse Gaussian process regression models with stochastic variational inference for big data
TN Hoang, QM Hoang, BKH Low
International Conference on Machine Learning, 569-578, 2015
1002015
Decentralized high-dimensional Bayesian optimization with factor graphs
TN Hoang, QM Hoang, R Ouyang, KH Low
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
632018
A distributed variational inference framework for unifying parallel sparse Gaussian process regression models
TN Hoang, QM Hoang, BKH Low
International Conference on Machine Learning, 382-391, 2016
572016
Collective online learning of Gaussian processes in massive multi-agent systems
TN Hoang, QM Hoang, KH Low, J How
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7850-7857, 2019
452019
A generalized stochastic variational Bayesian hyperparameter learning framework for sparse spectrum Gaussian process regression
QM Hoang, TN Hoang, KH Low
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
372017
Collective model fusion for multiple black-box experts
M Hoang, N Hoang, BKH Low, C Kingsford
International Conference on Machine Learning, 2742-2750, 2019
332019
DeepMinimizer: A differentiable framework for optimizing sequence-specific minimizer schemes
M Hoang, H Zheng, C Kingsford
International Conference on Research in Computational Molecular Biology, 52-69, 2022
72022
Revisiting the sample complexity of sparse spectrum approximation of gaussian processes
M Hoang, N Hoang, H Pham, D Woodruff
Advances in Neural Information Processing Systems 33, 12710-12720, 2020
52020
Remarques sur la structure phonologique du Vietnamien. Essais Linguistiques (Remarks on the phonological structure of Vietnamese)
T Hoàng, M Hoàng
Etudes Vietnamiennes (Vietnamese studies) 40, 1975
51975
Differentiable learning of sequence-specific minimizer schemes with DeepMinimizer
M Hoang, H Zheng, C Kingsford
Journal of Computational Biology 29 (12), 1288-1304, 2022
42022
Personalized neural architecture search for federated learning
M Hoang, C Kingsford
42021
Masked Minimizers: Unifying sequence sketching methods
M Hoang, G Marçais, C Kingsford
bioRxiv, 2022.10. 18.512430, 2022
32022
Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data
TS Frisby, SJ Baker, G Marçais, QM Hoang, C Kingsford, CJ Langmead
BMC bioinformatics 22, 1-19, 2021
32021
Optimizing dynamic structures with bayesian generative search
M Hoang, C Kingsford
International Conference on Machine Learning, 4271-4281, 2020
32020
Few-Shot Learning via Repurposing Ensemble of Black-Box Models
M Hoang, TN Hoang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12448 …, 2024
2024
A Scalable Optimization Algorithm for Solving the Beltway and Turnpike Problems with Uncertain Measurements
CS Elder, M Hoang, M Ferdosi, C Kingsford
bioRxiv, 2024.02. 15.580520, 2024
2024
Density and Conservation Optimization of the Generalized Masked-Minimizer Sketching Scheme
M Hoang, G Marçais, C Kingsford
Journal of Computational Biology 31 (1), 2-20, 2024
2024
Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
M Hoang, C Kingsford
The Twelfth International Conference on Learning Representations, 2023
2023
Practical Methods for Automated Algorithm Design in Machine Learning and Computational Biology
QM Hoang
Carnegie Mellon University, 2023
2023
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
T Nghia Hoang, QM Hoang, KH Low, J How
arXiv e-prints, arXiv: 1805.09266, 2018
2018
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Articles 1–20