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