# Xuechen Li (李雪晨)

## Biography

I am a third-year student at the University of Toronto pursuing a specialist
in computer science, a major in mathematics, and a minor in statistics.
I am especially interested in Bayesian deep learning.

I have taken a fair amount of interesting as well as advanced courses across
CS, math and stats. A comprehensive list can be found here.

## CV

A pdf version of my CV can be found here.

## Past Project

- Relaxing Discrete Nodes with the Concrete/Gumbel-Softmax Distribution [pdf]
Discrete random variables are a natural choice to promote category selection in stochastic
computation graphs. However, a major difficulty of adopting a stochastic node whose underlying
random variable is discrete stems from the inability to efficiently backpropagate gradients
through them during training. In this report, we survey the effectiveness of gradient
estimation using the recently proposed Concrete/Gumbel-Softmax distribution.

## Teaching Assistantship

- STA257: Probability and Statistics I (Summer 2016)
- MAT135: Calculus 1(A) (Fall 2017)