The Learning-Theoretic Agenda: Status 2023

The first two sections (“preamble” and “philosophy”) are non-technical and are recommended for everyone who wants to understand the motivations behind the learning-theoretic research agenda (LTA). Most of the remainder is a list of problems and research directions, and is suitable for mathematicians who want to gain a high-level understanding of the agenda and/or to choose a research direction in which to contribute.

Vanessa’s lectures on the learning-theoretic research agenda

The recommended starting point for people looking to understand and contribute to our research.

Learning-theoretic agenda reading list

Provides links to a great deal of background material for people interesting in contributing to the LTA. Useful for people with a wide range of skill levels, from students finishing a Bachelor’s degree in math or computer science who want to use their careers to study agent foundations, to established mathematicians who want to get up to speed on the LTA as quickly as possible.

Lectures on statistical learning theory

Recorded lectures on statistical learning theory by a former CORAL researcher. Statistical learning theory is key background knowledge for understanding and contributing to the LTA.

Getting Involved

Mathematicians and computer scientists who are interested in contributing to our research are encouraged to apply to the PIBBSS fellowship (when available) or to email Vanessa at [email protected] to discuss possible research directions