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Tradeoffs in Machine Learning

Introductory Workshop: Algorithms, Fairness, and Equity August 28, 2023 - September 01, 2023

August 30, 2023 (09:30 AM PDT - 10:30 AM PDT)
Speaker(s): Yaim Cooper (University of Notre Dame)
Location: SLMath: Eisenbud Auditorium, Online/Virtual
  • machine learning

  • tradeoff

  • Fairness

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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.

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