Hoang Phuc Hau Luu

Orcid: 0000-0003-0908-9817

According to our database1, Hoang Phuc Hau Luu authored at least 11 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Online Stochastic DCA With Applications to Principal Component Analysis.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Markov chain stochastic DCA and applications in deep learning with PDEs regularization.
Neural Networks, 2024

Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction.
CoRR, 2024

Error bounds for any regression model using Gaussian processes with gradient information.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
DCA-Based Weighted Bagging: A New Ensemble Learning Approach.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022
Stochastic Difference-of-Convex-Functions Algorithms for Nonconvex Programming.
SIAM J. Optim., September, 2022

Advanced machine learning techniques based on DCA and applications to predictive maintenance. (Techniques avancées d'apprentissage automatique basées sur DCA et applications à la maintenance prédictive).
PhD thesis, 2022

Stochastic DCA with Variance Reduction and Applications in Machine Learning.
J. Mach. Learn. Res., 2022

A DC programming approach for solving a centralized group key management problem.
J. Comb. Optim., 2022

A Block Coordinate DCA Approach for Large-Scale Kernel SVM.
Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

2021
Solving a Centralized Dynamic Group Key Management Problem by an Optimization Approach.
Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2021


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