Mathematics

Wanders around the the land of abstract reasoning



Notes on Reinforcement Learning

Written on 10 Feb 2021

Pieter Abbeel is one of the world’s leading RL researchers. He has recently made a lot of the material he teaches in classes at Berkley free on the internet. The below is an excerpt of my notes from his Deep RL Bootcamp.

1 - Motivation + Overview +...


AutoML with AdaNet

Written on 13 Feb 2020

Background

There has recently been a lot of hype concerning automatic machine learning (or AutoML), with a lot of start-ups and researchers claiming that they can automatically produce state-of-the art models for a variety of tasks, given nothing more than a dataset of a modest size.

Although AutoML is...


A Review of ALBERT

Written on 08 Jan 2020

ALBERT: A Lite BERT For Self-Supervised Learning of Language Representations

Motivation

A research direction that I’ve spent some time exploring recently is model compression; more specifically, techniques for compressing large embeddings. While the focus is on techniques that generalize to arbitrary NN model architectures, I have found myself...


Backprop: The Bastard Child of Calculus

Written on 12 May 2019

Calculus is possibly the most powerful tool humanity has invented, appearing in physical sciences, actuarial science, computer science, statistics, engineering, economics, business, medicine, demography, and many many more. Richard Feynman famously said “Calculus is the language God speaks.” Regardless of what one thinks about religion, the sentiment is a compelling...