Normative models are often used to describe how humans and animals make decisions. These treat deliberation as the accumulation of uncertain evidence that terminates with a commitment choice. When extended social groups, such assume individuals independent observations. However, typically gather from common sources, their observations rarely independent. Here we ask: For group ideal observers w...

Percolation based graph matching algorithms rely on the availability of seed vertex pairs as side information to e ciently match users across networks. Although such algorithms work well in practice, there are other types of side information available which are potentially useful to an attacker. In this paper, we consider the problem of matching two correlated graphs when an attacker has access...

Collaborative filtering (CF) has been one of the most important and popular recommendation methods, which aims at predicting users’ preferences (ratings) based on their past behaviors. Recently, various types side information beyond explicit ratings users give to items, such as social connections among metadata have introduced into CF shown be useful for improving performance. However, previous...

We study the problem of Private Information Retrieval (PIR) in the presence of prior side information. The problem setup includes a database of K independent messages possibly replicated on several servers, and a user that needs to retrieve one of these messages. In addition, the user has some prior side information in the form of a subset of M messages, not containing the desired message and u...

We address the problem of compressing correlated distributed video signals that are captured from a dynamic scene. The correlated video signals originate from cameras that are not co-located or that cannot cooperate to directly exploit their correlation. However, the decoder is able to exploit the coded information from all cameras to achieve the best reconstruction of the correlated video sign...

MOTIVATION Identifying the emergence and underlying mechanisms of drug side effects is a challenging task in the drug development process. This underscores the importance of system-wide approaches for linking different scales of drug actions; namely drug-protein interactions (molecular scale) and side effects (phenotypic scale) toward side effect prediction for uncharacterized drugs. RESULTS ...