2026
LORE: Jointly Learning The Intrinsic Dimensionality and Relative Similarity Structure from Ordinal Data
Vivek Anand, Alec Helbling, Mark A. Davenport, Gordon J Berman, Sankaraleengam Alagapan, Christopher John Rozell
ICLR 2026poster
Learning the intrinsic dimensionality of subjective perceptual spaces such as taste, smell, or aesthetics from ordinal data is a challenging problem. We introduce LORE (Low Rank Ordinal Embedding), a scalable framework that jointly learns both the intrinsic dimensionality and an ordinal embedding fr…