Skoglund, Mikael

7 publications

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

NeurIPSW 2024 An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias Oechtering, Mikael Skoglund

ICMLW 2024 Chained Information-Theoretic Bounds and Tight Regret Rate for Linear Bandit Problems Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias Oechtering, 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

ICML 2019 Learning and Data Selection in Big Datasets Hossein Shokri Ghadikolaei, Hadi Ghauch, Carlo Fischione, Mikael Skoglund