632 citations · 665 across the 4 of their papers we have counts for
4 papers
Information Extraction from Larger Multi-layer Social Networks
Brandon Oselio, Alex Kulesza, Alfred Hero
Social networks often encode community structure using multiple distinct types of links between nodes. In this paper we introduce a novel method to extract information from such mu…
Socio-Spatial Pareto Frontiers of Twitter Networks
Brandon Oselio, Alex Kulesza, Alfred Hero
Social media provides a rich source of networked data. This data is represented by a set of nodes and a set of relations (edges). It is often possible to obtain or infer multiple t…
Markov Determinantal Point Processes
Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox
A determinantal point process (DPP) is a random process useful for modeling the combinatorial problem of subset selection. In particular, DPPs encourage a random subset Y to contai…
Determinantal point processes for machine learning
Alex Kulesza, Ben Taskar
Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that arise in quantum physics and random matrix theory. In contrast to traditional structured mod…