Christopher Waites

Computer Science Student at Stanford University

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Differentially Private Mixed-Type Data Generation For Unsupervised Learning

PyVacy: Differentially Private Optimization Algorithms for PyTorch

The Efficacy of Reversible Flow Models for Improved Biometric Verification Systems


An Introduction to Differentially Private Deep Learning


CS230: Deep Learning
Stanford University, Winter 2020.

CS221: Artificial Intelligence
Stanford University, Autumn 2019.

CS7646: Machine Learning for Trading
Georgia Institute of Technology, Autumn 2018.

CS3600: Artificial Intelligence
Georgia Institute of Technology, Spring 2017.

CS1331: Object-Oriented Programming
Georgia Institute of Technology, Spring 2016.


Differentially Private Synthetic Data Generation
Definition of differential privacy, differentially private stochastic gradient descent (DP-SGD), and generative adversarial networks.
Two Sigma Investments, Summer 2019.

Introductory Topics in Theoretical Computer Science
Computability, deterministic and nondeterministic finite automata, regular languages, the pumping lemma, and Turing machines.
Facebook, Inc., Spring 2018.


What I’m Reading

Building Machines That Learn and Think Like People

Keeping Top AI Talent in the United States

Deep Learning for Symbolic Mathematics

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

Counterfactual Regret Minimization

Deep Image Reconstruction from Human Brain Activity

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

The Linear Algebra Mapping Problem

Neural Turing Machines

Text Feature Selection for Causal Inference