Thobaben, Ragnar

4 publications

ICMLW 2024 A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry Martin Lindström, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund

JMLR 2024 More PAC-Bayes Bounds: From Bounded Losses, to Losses with General Tail Behaviors, to Anytime Validity Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund

ALT 2023 Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization Mahdi Haghifam, Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite

NeurIPS 2021 Tighter Expected Generalization Error Bounds via Wasserstein Distance Borja Rodríguez Gálvez, German Bassi, Ragnar Thobaben, Mikael Skoglund