11 citations · 31 across the 14 of their papers we have counts for
3 papers · 1 filter
Continual Learning with Distributed Optimization: Does CoCoA Forget?
Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
We focus on the continual learning problem where the tasks arrive sequentially and the aim is to perform well on the newly arrived task without performance degradation on the previ…
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves
David Bosch, Ashkan Panahi, Ayca Özcelikkale +1
We compute precise asymptotic expressions for the learning curves of least squares random feature (RF) models with either a separable strongly convex regularization or the …
Estimation under Model Misspecification with Fake Features
Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
We consider estimation under model misspecification where there is a model mismatch between the underlying system, which generates the data, and the model used during estimation. W…