47 citations · 65 across the 6 of their papers we have counts for
9 papers
Time-Varying Interaction Estimation Using Ensemble Methods
Brandon Oselio, Amir Sadeghian, Silvio Savarese +1
Directed information (DI) is a useful tool to explore time-directed interactions in multivariate data. However, as originally formulated DI is not well suited to interactions that…
Hierarchical network models for structured exchangeable interaction processes
Walter Dempsey, Brandon Oselio, Alfred Hero
Network data often arises via a series of structured interactions among a population of constituent elements. E-mail exchanges, for example, have a single sender followed by potent…
Learning to Bound the Multi-class Bayes Error
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero
In the context of supervised learning, meta learning uses features, metadata and other information to learn about the difficulty, behavior, or composition of the problem. Using thi…
A Dimension-Independent discriminant between distributions
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero
Henze-Penrose divergence is a non-parametric divergence measure that can be used to estimate a bound on the Bayes error in a binary classification problem. In this paper, we show t…
Consistent Alignment of Word Embedding Models
Cem Safak Sahin, Rajmonda S. Caceres, Brandon Oselio +1
Word embedding models offer continuous vector representations that can capture rich contextual semantics based on their word co-occurrence patterns. While these word vectors can pr…
Similarity Function Tracking using Pairwise Comparisons
Kristjan Greenewald, Stephen Kelley, Brandon Oselio +1
Recent work in distance metric learning has focused on learning transformations of data that best align with specified pairwise similarity and dissimilarity constraints, often supp…
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…
Multi-layer graph analysis for dynamic social networks
Brandon Oselio, Alex Kulesza, Alfred O. Hero
Modern social networks frequently encompass multiple distinct types of connectivity information; for instance, explicitly acknowledged friend relationships might complement behavio…