Session 7 | 37th International Conference on Algorithmic Learning Theory (ALT 2026) and ShaiFest скачать в хорошем качестве

Session 7 | 37th International Conference on Algorithmic Learning Theory (ALT 2026) and ShaiFest

[Wednesday, February 25, 2026] Distribution-Dependent Rates for Multi-Distribution Learning - 00:00-10:17 (Rafael Hanashiro, Patrick Jaillet) Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure (Zhi Wang, Chicheng Zhang, Ramya Korlakai Vinayak) - 10:20-20:45 Nearest Neighbours for Distribution Shift - 20:50-30:21 (Robi Bhattacharjee, Nick Ritter, and Kamalika Chaudhuri) Efficient and Provable Algorithms for Covariate Shift - 30:22-40:38 (Deeksha Adil, Jaroslaw Blasiok) Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality - 40:39-50:40 (Guanghui Wang, Umar Syed, Robert E. Schapire, Jacob Abernethy) PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses - 50:41-1:01:12 (Theresa Wasserer, Maximilian Fleissner, Debarghya Ghoshdastidar) From Continual Learning to SGD and Back: Better Rates for Continual Linear Models - 1:01:13-1:11:06 (Itay Evron, Ran Levinstein, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Nathan Srebro) -- http://www.fields.utoronto.ca/activit...