Arbel, Julyan

12 publications

TMLR 2025 Gaussian Pre-Activations in Neural Networks: Myth or Reality? Pierre Wolinski, Julyan Arbel

ALT 2025 Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel

TMLR 2024 Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Eric Gaussier, Wilfried Thuiller

ICML 2024 Position: Bayesian Deep Learning Is Needed in the Age of Large-Scale AI Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang

NeurIPS 2024 Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel

NeurIPSW 2023 Improving Deep Ensembles Without Communication Konstantinos Pitas, Michael Arbel, Julyan Arbel

NeurIPSW 2023 Something for (almost) Nothing: Improving Deep Ensemble Calibration Using Unlabeled Data Konstantinos Pitas, Julyan Arbel

ACML 2023 The Fine Print on Tempered Posteriors Konstantinos Pitas, Julyan Arbel

NeurIPSW 2022 Cold Posteriors Through PAC-Bayes Konstantinos Pitas, Julyan Arbel

NeurIPSW 2022 Cold Posteriors Through PAC-Bayes Konstantinos Pitas, Julyan Arbel

ACML 2021 Bayesian Neural Network Unit Priors and Generalized Weibull-Tail Property Mariia Vladimirova, Julyan Arbel, Stéphane Girard

ICML 2019 Understanding Priors in Bayesian Neural Networks at the Unit Level Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel