Improving Adaptive Moment Optimization via Preconditioner Diagonalization Permalink
Published:
Son Nguyen, Bo Liu, Lizhang Chen, Qiang Liu Read more
Publications
Memory-Efficient Optimization with Factorized Hamiltonian Descent Permalink
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu Read more
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation Permalink
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
Hoang Phan*, Anh Phan Tuan*, Son Nguyen*, Ngo Van Linh, Khoat Than Read more
Adaptive Infinite Dropout for Noisy and Sparse Data Streams Permalink
Machine Learning Journal, 2022
Ha Nguyen*, Hoang Pham*, Son Nguyen* Linh Ngo, Khoat Than Read more
Structured Dropout Variational Inference for Bayesian Neural Networks Permalink
Advances in Neural Information Processing Systems (NeurIPS), 2022
Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui Read more
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Permalink
International Conference on Learning Representations (ICLR), 2021
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui Read more
Infinite Dropout for training Bayesian models from data streams Permalink
IEEE International Conference on Big Data (Big Data), 2020
Son Nguyen, Tung Nguyen, Linh Ngo, Khoat Than Read more