Thanh Huy Nguyen

Publication Activity (10 Years)

Years Active: 2018-2019
Publications (10 Years): 8

Top Topics

Convex Optimization

Stochastic Gradient Descent

Top Venues

IEEE Signal Process. Lett.

Publications

Thanh Huy Nguyen, Umut Simsekli, Gaël Richard
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization. ICML (2019)
Umut Simsekli, Mert Gürbüzbalaban, Thanh Huy Nguyen, Gaël Richard, Levent Sagun
On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks. CoRR (2019)
Thanh Huy Nguyen, Umut Simsekli, Mert Gürbüzbalaban, Gaël Richard
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise. CoRR (2019)
Thanh Huy Nguyen, Umut Simsekli, Gaël Richard
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization. CoRR (2019)
Thanh Huy Nguyen, Umut Simsekli, Mert Gürbüzbalaban, Gaël Richard
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise. NeurIPS (2019)
Thanh Huy Nguyen, Umut Simsekli, Gaël Richard, Ali Taylan Cemgil
Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration. IEEE Signal Process. Lett. 25 (5) (2018)
Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, A. Taylan Cemgil, Gaël Richard
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. ICML (2018)
Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, Gaël Richard, A. Taylan Cemgil
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. CoRR (2018)