Suryanarayana Sankagiri — 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 (

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization

Suryanarayana Sankagiri, Jalal Etesami, Matthias Grossglauser

ICML 2025poster

In this paper, we consider a recommender system that elicits user feedback through pairwise comparisons instead of ratings. We study the problem of learning personalised preferences from such comparison data via collaborative filtering. Similar to the classical matrix completion setting, we assume t…

Cited by 0 Source ↗PDF ↗Scholar ↗