## Some Thoughts on ICLR 2019

Posted on June 1, 2019

I recently attended ICLR 2019 in New Orleans, and I was lucky to have the opportunity to show off our paper on a novel attention module and image understanding dataset. I really enjoyed the entire conference, and I thought I’d share brief overviews of two of my favorite presentations from...

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Tags:
ICLR, Machine Learning, ML, Neural Network, Conference

## My solutions to Bartosz Milewski's "Category Theory for Programmers"

Posted on November 10, 2018

I recently worked through Bartosz Milewski’s excellent free book “Category Theory for Programmers.” The book is available online here and here. I had an awesome time reading the book and learning about Category Theory so I figured I’d post my solutions to the book problems online to make it easier...

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Tags:
Category Theory, Functional Programming, Mathematics, Solutions

## Introducing repcomp - A Python Package for Comparing Trained Embedding Models

Posted on October 17, 2018

When I’m building models, I frequently run into situations where I’ve trained multiple models over a few datasets or tasks and I’m curious about how they compare. For instance, it’s clear that if I train two word vector models on random subsets of Wikipedia, the trained models will be “similar”...

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Tags:
Embeddings, Machine Learning, ML, Python, Comparison, Neural Network, Word Vector

## My Thoughts on KDD 2018

Posted on August 31, 2018

Last week I was at KDD 2018 in London. This was my first time at KDD, and I had the opportunity to present our paper on embeddings at the Common Model Infrastructure workshop. I was really impressed by both the workshops and the main program, and I thought I’d share...

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Tags:
KDD, Machine Learning, ML, Data, Conference

## Representing Graphs with Low Dimensional Matrix Factorization for Fun and Profit

Posted on March 30, 2018

A solid laptop computer in 2018 has about 1TB (1000GB) of disk space, and the capability to store about 16GB of memory in RAM. In comparison, internet users in the United States generate about 3000TB of data every minute 1. An enormous amount of this data takes the form of...

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Tags:
Embeddings, Matrix, Factorization, Graph, Recommendation, Word2Vec