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cs.LG2024
Fairness in Monotone -submodular Maximization: Algorithms and Applications
Yanhui Zhu, Samik Basu, A. Pavan
Submodular optimization has become increasingly prominent in machine learning and fairness has drawn much attention. In this paper, we propose to study the fair -submodular maxi…
cs.LG2023
List and Certificate Complexities in Replicable Learning
Peter Dixon, A. Pavan, Jason Vander Woude +1
We investigate replicable learning algorithms. Ideally, we would like to design algorithms that output the same canonical model over multiple runs, even when different runs observe…