We study a model of observational learning in social networks in the presence of uncertainty about agents' type distributions. Each individual receives a private noisy signal ...
Daron Acemoglu, Munther A. Dahleh, Asuman E. Ozdag...
Abstract-- This paper considers the problem of model reduction for controlled systems. The paper considers a dual/adjoint formulation of the general optimization problem to minimiz...
This paper explores the relationship between display of feedback (public vs. private) by a computer system and the basis for evaluation (present vs. absent) of that feedback. We e...
Traditionally, techniques for computing on encrypted data have been proposed with privacy preserving applications in mind. Several current cryptosystems support a homomorphic oper...
Tractable subsets of first-order logic are a central topic in AI research. Several of these formalisms have been used as the basis for first-order probabilistic languages. Howev...