4 papers
On social networks that support learning
Itai Arieli, Fedor Sandomirskiy, Rann Smorodinsky
It is well understood that the structure of a social network is critical to whether or not agents can aggregate information correctly. In this paper, we study social networks that…
Representative Committees of Peers
Reshef Meir, Fedor Sandomirskiy, Moshe Tennenholtz
A population of voters must elect representatives among themselves to decide on a sequence of possibly unforeseen binary issues. Voters care only about the final decision, not the…
Feasible Joint Posterior Beliefs
Itai Arieli, Yakov Babichenko, Fedor Sandomirskiy +1
We study the set of possible joint posterior belief distributions of a group of agents who share a common prior regarding a binary state, and who observe some information structure…
Protecting the Protected Group: Circumventing Harmful Fairness
Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz
Machine Learning (ML) algorithms shape our lives. Banks use them to determine if we are good borrowers; IT companies delegate them recruitment decisions; police apply ML for crime-…