Daniel R. Figueiredo — accepted AI-conference papers

2025

Measuring IIA Violations in Similarity Choices with Bayesian Models

Hugo Sales Correa, Suryanarayana Sankagiri, Daniel R. Figueiredo, Matthias Grossglauser

UAI 2025

Similarity choice data occur when humans make choices among alternatives based on their similarity to a target, \emph{e.g.}, in the context of information retrieval and in embedding learning settings. Classical metric-based models of similarity choice assume independence of irrelevant alternatives (

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2023

Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model

Maximilien Dreveton, Felipe Schreiber Fernandes, Daniel R. Figueiredo

NeurIPS 2023poster

Classic network clustering tackles the problem of identifying sets of nodes (communities) that have similar connection patterns. However, in many scenarios nodes also have attributes that are correlated and can also be used to identify node clusters. Thus, network information (edges) and node inform…

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