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stat.ML2021
Chance-Constrained Active Inference
Thijs van de Laar, Ismail Senoz, Ayça Özçelikkale +1
Active Inference (ActInf) is an emerging theory that explains perception and action in biological agents, in terms of minimizing a free energy bound on Bayesian surprise. Goal-dire…
stat.ML2020
Generalization Error for Linear Regression under Distributed Learning
Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
Distributed learning facilitates the scaling-up of data processing by distributing the computational burden over several nodes. Despite the vast interest in distributed learning, g…
stat.ML2020
Sparse Recovery With Non-Linear Fourier Features
Ayca Ozcelikkale
Random non-linear Fourier features have recently shown remarkable performance in a wide-range of regression and classification applications. Motivated by this success, this article…