Towards a New Synthesis of Reasoning and Learning

Seminar: Departmental: CS | February 11 | 4-5 p.m. | Jacobs Hall, Studio 310

 Guy Van den Broeck, Assistant Professor, UCLA

 Electrical Engineering and Computer Sciences (EECS)

This talk discusses the role of logical reasoning in statistical machine learning. While their unification has been a long-standing and crucial open problem, automated reasoning and machine learning are still disparate fields within artificial intelligence. I will describe recent progress towards their synthesis in three facets.

I start with a very practical question: how can we enforce logical constraints on the output of deep neural networks to incorporate symbolic knowledge? Second, I explain how circuits developed for tractable logical reasoning can be turned into statistical models. When brought to bear on a variety of machine learning tasks, including image classification and density estimation, these probabilistic and logistic circuits yield state-of-the-art results. In a third facet, I argue for high-level representations of uncertainty, such as probabilistic programs, probabilistic databases, and statistical relational models. These pose unique challenges for inference and learning that can only be overcome by high-level reasoning about their first-order structure to exploit symmetry and exchangeability.

Guy Van den Broeck is an Assistant Professor and Samueli Fellow at UCLA, in the Computer Science Department, where he directs the Statistical and Relational Artificial Intelligence (StarAI) lab. His research interests are in Machine Learning (Statistical Relational Learning, Tractable Learning, Probabilistic Programming), Knowledge Representation and Reasoning (Probabilistic Graphical Models, Lifted Probabilistic Inference, Knowledge Compilation, Probabilistic Databases), and Artificial Intelligence in general. Guy’s work received best paper awards from key artificial intelligence venues such as UAI, ILP, and KR, and an outstanding paper honorable mention at AAAI. His doctoral thesis was awarded the ECCAI Dissertation Award for the best European dissertation in AI. Guy serves as Associate Editor for the Journal of Artificial Intelligence Research (JAIR). His research is sponsored by NSF, DARPA, NEC, and Intel.

 510-642-1042