Parametric Learning for Tractable Probabilistic Programming

• Grant number: 24/14144-9
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: September 01, 2024
• End date: August 31, 2025
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Denis Deratani Mauá
• Grantee: Vinícius Yuiti Okuma Shimizu
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 22/02937-9 - Neural inductive logic programming, AP.PNGP.PI

Abstract

Probabilistic programming languages facilitate statistical model construction and inference. In this research project the student shall become familiar with the declarative probabilistic programming languages that compile to probabilistic circuits, as well as their parametric learning algorithms.