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 through all the proceedings? Fear not, the Learning Theory Alliance is pleased to bring you ALT Highlights, a series of blog posts spotlighting various happenings at ALT, including plenary talks, tutorials, trends in learning theory, and more!

In order to reach a broad audience in learning theory, we’ll be releasing these posts across a number of different blogs. All content will be linked from this post, so be sure to bookmark this post so you don’t miss anything!

ALT Highlights will be brought to you by an amazing team of junior researchers, written by Kush Bhatia, Sutanu Gayen, Margalit Glasgow, Michal Moshkovitz, Keziah Naggita, and Cyrus Rashtchian, and overseen and edited by Gautam Kamath. 

Links to articles:
1. An Interview with Joelle Pineau
2. An Equivalence between Private Learning and Online Learning
3. Equilibrium Computation and the Foundations of Deep Learning
4. An Interview with the PC Chairs of ALT 2021
5. A Report on the First ALT Mentoring Workshop
6. Trends in Machine Learning Theory