Nesterov's Punctuated Equilibrium

Ed. Note: this post is co-written with Roy Frostig. Following the remarkable success of AlphaGo, there has been a groundswell of interest in reinforcement learning for games, robotics, parameter tuning, and even computer networking. In... Continue

The Fall of BIG DATA

I’m still in total shock from the decision my country made last Tuesday. We elected a hateful, bigoted, misogynistic, incompetent demagogue to lead us into a dark and foreboding future. While the internet has been... Continue

Embracing the Random

Ed. Note: this post is again in my voice, but co-written with Kevin Jamieson. Kevin provided all of the awesome plots, and has a great tutorial for implementing the algorithm I’ll describe in this post... Continue

The News on Auto-tuning

Ed. Note: this post is in my voice, but it was co-written with Kevin Jamieson. Kevin provided the awesome plots too. It’s all the rage in machine learning these days to build complex, deep pipelines... Continue

The Role of Convergence Analysis

This year marks the retirement of Dimitri Bertsekas from MIT. Dimitri is an idol of mine, having literally written the book on every facet of optimization. His seminal works on distributed optimization, dynamic programming, and... Continue

Mechanics of Lagrangians

In my last post, I used a Lagrangian to compute derivatives of constrained optimization problems in neural nets and control. I took it for granted that the procedure was correct. But why is it correct?... Continue

Song of the week - Both Hands

David Bazan of Pedro the Lion fame just released a fantastic new record Blanco, and “Both Hands” is the leadoff track. I haven’t followed Bazan’s work since Pedro the Lion, but in the interim he’s... Continue

Mates of Costate

There have been four thousand new frameworks for deep learning thrown on the market the past year, and I bet you were wondering what you needed to jump into this hot marketplace. Essentially, there are... Continue