no code implementations • 14 Jun 2023 • John Lazarsfeld, Dan Alistarh
We study a cooperative multi-agent bandit setting in the distributed GOSSIP model: in every round, each of $n$ agents chooses an action from a common set, observes the action's corresponding reward, and subsequently exchanges information with a single randomly chosen neighbor, which informs its policy in the next round.
1 code implementation • 21 Jun 2022 • John Lazarsfeld, Aaron Johnson, Emmanuel Adeniran
We therefore introduce the MICr statistic, which is a new MIC approximation that is more compatible with differential privacy.
no code implementations • 8 Jul 2021 • John Lazarsfeld, Aaron Johnson
The Maximal Information Coefficient (MIC) of Reshef et al. (Science, 2011) is a statistic for measuring dependence between variable pairs in large datasets.
