Hi, I’m Hung, a fourth year Math major at the University of Chicago. I’m currently interested in the theory of deep learning! My thoughts are recently inspired by:

  1. Misha Belkin’s research directions, and his blog posts on the necessity of developing a deep learning theory.
  2. Rebecca Willett’s motivation for her research directions.
  3. The book The Principles of Deep Learning Theory, whose philosophy of an “effective theory” is worth pursuing, but I wonder if the assumptions are sufficiently realistic to reflect empirical success.

Besides all this, I am also interested in reinforcement learning and its theoretical foundations. Because I love robots. There are not as many “inspirations” here as there are above, but I do think a lot of future success in RL hinges on the simpler DL case.

What to see here

  • I have a bunch of Math things written throughout the years. Check them out in Math!
  • You can also check out my ML things in ML!