Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Stochastic Optimization
Speaker: Lingjiong Zhu from Florida State University Date and Time: 11/05/2019, 4-5pm Abstract: Stochastic gradient Hamiltonian Monte Carlo (SGHMC) is a variant of stochastic gradient with momentum where a controlled and properly scaled Gaussian noise is added to the stochastic gradients to steer the iterates towards a global minimum. Many works reported its empirical success […]
Limit Theorems and Regenerative Processes
Speaker: Ju-yi Yen from University of Cincinnati Date and Time: 10/29/19, 4-5pm Abstract:In this talk, we present limit theorems related to integrals of functions taken at the values of Brownian motion. These limit theorems involve regenerative processes and the local time of the Brownian motion.