My thesis is finally signed, sealed, delivered, filed, and ready to see the bright light of day. Feel free to take a look, browse, poke around to learn a bit about mass-action dynamics, simplicial complexes, the Global Attractor Conjecture, and how …

This blog post summarizes my notes on Adversarial Examples from Computational Constraints by Sébastien Bubeck, Eric Price, and Ilya Razenshteyn (2018). The paper asks a fundamental question in machine learning: Why are adversarial examples a thing, anyway? What's stopping us from building the robust classifiers of our dreams?

You’ve come to the end of my blog! This is (was) the first post.