5 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
Provably Optimal Learning Algorithms for Assistance Games
Nivasini Ananthakrishnan, Mark Bedaywi, Michael I. Jordan +2
This paper studies an online variant of the assistance games framework, where an informed agent and an uninformed agent repeatedly interact over timesteps to optimize a common…
Delegating Data Collection in Decentralized Machine Learning
Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan +1
Motivated by the emergence of decentralized machine learning (ML) ecosystems, we study the delegation of data collection. Taking the field of contract theory as our starting point,…
Impossibility results for fair representations
Tosca Lechner, Shai Ben-David, Sushant Agarwal +1
With the growing awareness to fairness in machine learning and the realization of the central role that data representation has in data processing tasks, there is an obvious intere…