Daniel L. Pimentel-Alarcón

Learning Subspaces by Pieces and Algorithms for Ordinal Embedding

Speaker: Daniel Pimentel-Alarcon Title: Learning subspaces by pieces Abstract: We love subspaces. We observe a phenomenon and try to find a line that explains it. We get our hands on some data, and try to find a subspace that fits it. But in many relevant applications, data is missing, and …

Subspace Identifiability From Canonical Projections and Convergence Analysis of Canonical Correlation Analysis

Consider a generic r-dimensional subspace, and suppose that we are only given projections of this subspace onto small subsets of the canonical coordinates. In this talk I will show the necessary and sufficient conditions on such subsets to guarantee that there is only one r-dimensional subspace consistent with all the …