9 citations · 9 across the 2 of their papers we have counts for
2 papers
stat.ML2025
Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry
Charles C. Margossian, Isaac E. Rankin, Lawrence K. Saul
Variational inference (VI) approximates a target density by the best match in a family of tractable distributions. The best variational approximation is found by minimizing…
cs.LG2011★ 9 cited
Nonnegative Matrix Factorization for Semi-supervised Dimensionality Reduction
Youngmin Cho, Lawrence K. Saul
We show how to incorporate information from labeled examples into nonnegative matrix factorization (NMF), a popular unsupervised learning algorithm for dimensionality reduction. In…