Hoang Phuc Hau Luu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Ensemble Learning

Variance Reduction

Top Venues

J. Comb. Optim.

Publications

Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami
Non-geodesically-convex optimization in the Wasserstein space. CoRR (2024)
Hoang Phuc Hau Luu, Hoai Minh Le, Hoai An Le Thi
Markov chain stochastic DCA and applications in deep learning with PDEs regularization. Neural Networks 170 (2024)
Anri Patron, Ayush Prasad, Hoang Phuc Hau Luu, Kai Puolamäki
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction. CoRR (2024)
Hoai An Le Thi, Hoang Phuc Hau Luu, Tao Pham Dinh
Online Stochastic DCA With Applications to Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Rafael Savvides, Hoang Phuc Hau Luu, Kai Puolamäki
Error bounds for any regression model using Gaussian processes with gradient information. AISTATS (2024)
Van Tuan Pham, Hoai An Le Thi, Hoang Phuc Hau Luu, Pascal Damel
DCA-Based Weighted Bagging: A New Ensemble Learning Approach. ACIIDS (2) (2023)
Van Tuan Pham, Hoang Phuc Hau Luu, Hoai An Le Thi
A Block Coordinate DCA Approach for Large-Scale Kernel SVM. ICCCI (2022)
Hoai An Le Thi, Thi Tuyet Trinh Nguyen, Hoang Phuc Hau Luu
A DC programming approach for solving a centralized group key management problem. J. Comb. Optim. 44 (5) (2022)
Hoai An Le Thi, Hoang Phuc Hau Luu, Hoai Minh Le, Tao Pham Dinh
Stochastic DCA with Variance Reduction and Applications in Machine Learning. J. Mach. Learn. Res. 23 (2022)
Hoai An Le Thi, Ngai Van Huynh, Tao Pham Dinh, Hoang Phuc Hau Luu
Stochastic Difference-of-Convex-Functions Algorithms for Nonconvex Programming. SIAM J. Optim. 32 (3) (2022)
Thi Tuyet Trinh Nguyen, Hoang Phuc Hau Luu, Hoai An Le Thi
Solving a Centralized Dynamic Group Key Management Problem by an Optimization Approach. MCO (2021)