research
∙
03/31/2021
The Expectation-Maximization Algorithm for Continuous-time Hidden Markov Models
We propose a unified framework that extends the inference methods for cl...
share
research
∙
11/02/2019
Global Convergence of Gradient Descent for Deep Linear Residual Networks
We analyze the global convergence of gradient descent for deep linear re...
research
∙
03/06/2019
A Priori Estimates of the Population Risk for Residual Networks
Optimal a priori estimates are derived for the population risk of a regu...
research
∙
07/01/2018
Exponential Convergence of the Deep Neural Network Approximation for Analytic Functions
We prove that for analytic functions in low dimension, the convergence r...
research
∙
05/21/2018