Jenny Hamer
I work in fundamental machine learning research areas and apply machine learning to problems in climate and weather. My research interests lie predominantly within machine learning and optimization, and include federated learning and optimization under heterogeneity; the intersection and trade-offs of fairness, robustness, and other performance metrics; unsupervised and embedding learning; and applying ML to address the climate crisis.
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Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse
Nicholas Perello
Jake Valladares
Vignesh Viswanathan
Yair Zick
Transactions on Machine Learning (TMLR) (2024)
