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cs.LG2025
Research Program: Theory of Learning in Dynamical Systems
Elad Hazan, Shai Shalev Shwartz, Nathan Srebro
Modern learning systems increasingly interact with data that evolve over time and depend on hidden internal state. We ask a basic question: when is such a dynamical system learnabl…
cs.LG2025
From Continual Learning to SGD and Back: Better Rates for Continual Linear Models
Itay Evron, Ran Levinstein, Matan Schliserman +4
We study the common continual learning setup where an overparameterized model is sequentially fitted to a set of jointly realizable tasks. We analyze forgetting, defined as the los…