The Curious Landscape of Multiclass Learning
Welcome to the second installment of the Learning Theory Alliance blog post series! In case you missed the first installment on calibration, check it out here. This time, Nataly Brukhim and Chirag Pabbaraju tell us about some exciting breakthrough results on multiclass PAC learning. The gold standard of learning...
Calibration for Decision Making: A Principled Approach to Trustworthy ML
The Learning Theory Alliance is starting a new initiative, with invited blog posts highlighting recent technical contributions to the field. The goal of these posts is to share noteworthy results with the community, in a more broadly accessible format than traditional research papers (i.e., self-contained and readable by a...
ALT Highlights – A Report on the First ALT Mentoring Workshop
Welcome to ALT Highlights, a series of blog posts spotlighting various happenings at the recent conference ALT 2021, including plenary talks, tutorials, trends in learning theory, and more! To reach a broad audience, the series will be disseminated as guest posts on different blogs in machine learning and theoretical computer...
ALT Highlights – An Interview with the PC Chairs of ALT 2021
Welcome to ALT Highlights, a series of blog posts spotlighting various happenings at the recent conference ALT 2021, including plenary talks, tutorials, trends in learning theory, and more! To reach a broad audience, the series will be disseminated as guest posts on different blogs in machine learning and theoretical computer...
Introducing ALT Highlights 2021
The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) just wrapped up, featuring a wide selection of exciting results at the frontiers of learning theory. The proceedings and all talk recordings are available online for perusal. Did you miss out on the conference? Don’t have time to go...