Mariano Tepper

Toward a Geometrical Understanding of Self-supervised Contrastive Learning

2022 · arXiv (Cornell University)

Self-supervised learning (SSL) is currently one of the premier techniques to create data representations that are actionable for transfer learning in the absence of human annotations. Despite their success, the underlying geometry of these representations …

CoLiDE: Concomitant Linear DAG Estimation

2023 · arXiv (Cornell University)

We deal with the combinatorial problem of learning directed acyclic graph (DAG) structure from observational data adhering to a linear structural equation model (SEM). Leveraging advances in differentiable, nonconvex characterizations of acyclicity, recent efforts have …