11 citations · 20 across the 6 of their papers we have counts for
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cs.GT2022
Learning in Multi-Player Stochastic Games
William Brown
We consider the problem of simultaneous learning in stochastic games with many players in the finite-horizon setting. While the typical target solution for a stochastic game is a N…
cs.IR2022★ 1 cited
Diversified Recommendations for Agents with Adaptive Preferences
Arpit Agarwal, William Brown
When an Agent visits a platform recommending a menu of content to select from, their choice of item depends not only on fixed preferences, but also on their prior engagements with…
cs.LG2022★ 7 cited
Private Synthetic Data for Multitask Learning and Marginal Queries
Giuseppe Vietri, Cedric Archambeau, Sergul Aydore +6
We provide a differentially private algorithm for producing synthetic data simultaneously useful for multiple tasks: marginal queries and multitask machine learning (ML). A key inn…