Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization

no code implementations • 12 Jul 2022 • Liam Peet-Pare, Nidhi Hegde, Alona Fyshe

Fairness researchers in machine learning (ML) have coalesced around several fairness criteria which provide formal definitions of what it means for an ML model to be fair.

BIG-bench Machine Learning Fairness

Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum

no code implementations • ICLR 2022 • Kirby Banman, Liam Peet-Pare, Nidhi Hegde, Alona Fyshe, Martha White

In this work, we show that SGDm under covariate shift with a fixed step-size can be unstable and diverge.

Continual Learning