Eric Wong

Postdoc
Google Scholar
Github Page

I am a postdoc at MIT with Aleksander Madry. Previously, I worked with Zico Kolter as a PhD student in the Machine Learning Department at Carnegie Mellon University, where I wrote my dissertation on robustness of deep networks to adversarial examples, which you can find here. My research interests touch on machine learning, robust optimization, and verification.

I am currently organizing a workshop on Robust and Reliable Machine Learning in the Real World for ICLR 2021

Email wongeric@mit.edu

Publications

Teaching Experience

Teaching Assistant
  • Carnegie Mellon University
    • 15-388/688 Practical Data Science, Fall 2016
    • 10-715 Advanced Introduction to Machine Learning, Fall 2015
    • 15-451 Algorithms, Fall 2014
    • 08-766/08-781 Pervasive and Mobile Computing Services, Spring 2014
    • 08-766/08-781 Pervasive and Mobile Computing Services, Spring 2013
    • 08-723 Mobile Development for iOS and Android, Spring 2013

Tensor Differential Calculus

In my quest to simplify the current state of matrix differential calculus, I have been working on a more elegant, simplified form of taking derivatives of functions regardless of the input and output shape, with more direct implementation. This has resulted in the following series, which continues to grow as I use what I've learned so far.

  1. Tensors
  2. Differentials and their Tensor generalization
  3. Simplified Backprop
  4. Backprop through Matrix Inverse

Miscellaneous

I am an avid dancer in the ballroom, latin, and hip hop styles.

I am also an enthusiastic cook, and love experimenting with different ingredients. I occasionally post pictures of my creations on Instagram