no code implementations • 21 Nov 2023 • Marina Knittel, Max Springer, John Dickerson, Mohammadtaghi Hajiaghayi
Research in fair machine learning, and particularly clustering, has been crucial in recent years given the many ethical controversies that modern intelligent systems have posed.
no code implementations • 27 May 2022 • Marina Knittel, Max Springer, John P. Dickerson, Mohammadtaghi Hajiaghayi
We evaluate our results using Dasgupta's cost function, perhaps one of the most prevalent theoretical metrics for hierarchical clustering evaluation.
no code implementations • 22 Feb 2022 • Marina Knittel, Samuel Dooley, John P. Dickerson
We also assume the agent's preferences over entire matchings are determined by a general weighted valuation function of their (and their affiliates') matches.
no code implementations • NeurIPS 2020 • Sara Ahmadian, Alessandro Epasto, Marina Knittel, Ravi Kumar, Mohammad Mahdian, Benjamin Moseley, Philip Pham, Sergei Vassilvitskii, Yuyan Wang
As machine learning has become more prevalent, researchers have begun to recognize the necessity of ensuring machine learning systems are fair.