Tradeoffs in Machine Learning

In this talk, I'll discuss three classical and influential tradeoffs in machine learning: the bias-variance tradeoff, accuracy-interpretability tradeoff, and tradeoffs between different definitions of fairness. No prior background is assumed - I will describe each tradeoff, highlight work from the past decade on each, and invite consideration of the role of these tradeoffs in our work.