Thanh Huy Nguyen

According to our database, Thanh Huy Nguyen authored at least 6 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Heavy-tailed nature of stochastic gradient descent in deep learning : theoretical and empirical analysis. (Nature à queue lourde de l'algorithme du gradient stochastique en apprentissage profond : analyse théorique et empirique).

Thanh Huy Nguyen

PhD thesis, 2021

2019

On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks.

Umut Simsekli, Mert Gürbüzbalaban, Thanh Huy Nguyen, Gaël Richard, Levent Sagun

CoRR, 2019

First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise.

Thanh Huy Nguyen, Umut Simsekli, Mert Gürbüzbalaban, Gaël Richard

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization.

Thanh Huy Nguyen, Umut Simsekli, Gaël Richard

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration.

Thanh Huy Nguyen, Umut Simsekli, Gaël Richard, Ali Taylan Cemgil

IEEE Signal Process. Lett., 2018

Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization.

Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, A. Taylan Cemgil, Gaël Richard

Proceedings of the 35th International Conference on Machine Learning, 2018