Memory-Efficient Optimization with Factorized Hamiltonian Descent Permalink
Published:
Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu Read more
Publications
Adaptive Infinite Dropout for Noisy and Sparse Data Streams Permalink
Machine Learning Journal, 2022
Son Nguyen, Ha Nguyen, Hoang Pham, 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