Posts

Nov 27, 2022
A Genealogy of Probability Distributions
Nov 10, 2022
If You're Not Writing, You're Not Thinking
Jul 26, 2022
Themes from ICML 2022
Jun 19, 2022
Are Moving Averages Bayesian?
Jun 18, 2022
The Joys of Unit Testing
Jun 13, 2022
Navigating Julia's Autodiff Ecosystem
Jun 12, 2022
Finding Adventure in the STEM Disciplines
Jun 2, 2021
Breadth and Depth in Writing
Apr 7, 2021
Godel, Escher, Bach: kind of Overrated
Apr 5, 2021
On Bicycles
Apr 4, 2021
The Tool Shapes the User
Oct 10, 2020
Some Favorite Routines
Sep 12, 2020
Planting a Flag for Centrism in the Culture Wars
May 24, 2020
Making Python Packages: Some Useful Resources
May 17, 2020
Managing Workflows with Snakemake
May 16, 2020
Why Most Technical Talks are Bad
May 15, 2020
Motivation in Quarantine
Mar 15, 2020
COVID-19 Notes
Nov 17, 2019
Error, Bias, Variance, and the Human Condition
Nov 10, 2019
Kinds of Disagreement
Nov 9, 2019
The Delicate Calculus of Being a Grad Student
Nov 8, 2019
Truth and Usefulness
Nov 6, 2019
Group Decisions: Humans and Machines
Nov 5, 2019
Hair-Splitting: Machine Learning vs. Statistics
Nov 4, 2019
Avoiding Common Pitfalls in Machine Learning Model Validation
Nov 3, 2019
Some Amateur Thoughts on Management
Nov 3, 2019
Probabilistic Programming with Gen
Nov 2, 2019
The Big Three-O
Jul 18, 2018
A Singularity Container for Deep Learning
Jun 29, 2018
Matgiflib: Making GIFs with Matplotlib
Apr 6, 2018
Computers Should Help Us be Better Humans
Jul 7, 2017
Algorithmic Fairness Research in the News
Jul 7, 2017
Paper Accepted to IJCAI 2017
May 5, 2017
CS 761 Project: Spectral Methods for Latent Variable Models
Dec 6, 2016
Completed StarCraft Optimization Project
Nov 6, 2016
Optimization Project: Build Orders in StarCraft
Oct 1, 2016
Revisiting the Stanford AI100 Study
Oct 1, 2016
Some Work in Symbolic Volume Integration
Sep 7, 2016
The Stanford One Hundred Year AI Study - 2016
Sep 2, 2016
Proving Algorithmic Fairness - Introduction
Aug 24, 2016
Making a Blog with Jekyll