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Bala Rajaratnam

2 accepted papers

2023

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion

ICLR 2023poster

Knowledge graphs (KGs) are powerful in terms of their inference abilities, but are also notorious for their incompleteness and long-tail distribution of relations. To address these challenges and expand the coverage of KGs, few-shot KG completion aims to make predictions for triplets involving novel…

Cited by 30SourcePDFScholar
2017

Generalized Pseudolikelihood Methods for Inverse Covariance Estimation

AISTATS 2017poster

We introduce PseudoNet, a new pseudolikelihood-based estimator of the inverse covariance matrix, that has a number of useful statistical and computational properties. We show, through detailed experiments with synthetic and also real-world finance as well as wind power data, that PseudoNet outperfo…

Cited by 18SourcePDFScholar