Extracting Incentives from Black-Box Decisions
Explaining my recent NeurIPS workshop paper with Billy Moses about identifying incentives in machine-learning models.
Recent posts
Automating Differentially-Private Mechanism Design
Boriana Gjura and I published a paper at the Theory and Practice of Differential Privacy workshop at CCS 2019! You can find the paper here.
Fairness Implementations
TL;DR I built a repository of fairness algorithm implementations.
Learning Environment Simulators from Sparse Signals (my Masters thesis)
The problem I tackled in my Masters thesis, and the algorithm I proposed to solve it.
AlphaGo-style Learning in Connect Four
Last year, for my group final project for Prof. Torralba’s “Advances in Computer Vision” class, we decided to try and see whether we could create a system to...