| Tighter expected generalization error bounds via Wasserstein distance B Rodríguez Gálvez, G Bassi, R Thobaben, M Skoglund Advances in Neural Information Processing Systems 34, 19109-19121, 2021 | 56 | 2021 |
| On random subset generalization error bounds and the stochastic gradient langevin dynamics algorithm B Rodríguez-Gálvez, G Bassi, R Thobaben, M Skoglund 2020 IEEE Information Theory Workshop (ITW), 1-5, 2021 | 38 | 2021 |
| A variational approach to privacy and fairness B Rodríguez-Gálvez, R Thobaben, M Skoglund 2021 IEEE Information Theory Workshop (ITW), 1-6, 2021 | 31 | 2021 |
| Enforcing fairness in private federated learning via the modified method of differential multipliers B Rodríguez-Gálvez, F Granqvist, R van Dalen, M Seigel arXiv preprint arXiv:2109.08604, 2021 | 31 | 2021 |
| The Convex Information Bottleneck Lagrangian B Rodríguez Gálvez, R Thobaben, M Skoglund Entropy 22 (1), 27, 2020 | 25 | 2020 |
| Limitations of information-theoretic generalization bounds for gradient descent methods in stochastic convex optimization M Haghifam, B Rodríguez-Gálvez, R Thobaben, M Skoglund, DM Roy, ... International Conference on Algorithmic Learning Theory, 663-706, 2023 | 22 | 2023 |
| Fluid accumulation and major adverse kidney events in sepsis: a multicenter observational study A Mele, E Cerminara, H Häbel, B Rodriguez-Galvez, A Oldner, D Nelson, ... Annals of Intensive Care 12 (1), 62, 2022 | 21 | 2022 |
| Measuring gender bias in contextualized embeddings S Katsarou, B Rodríguez-Gálvez, J Shanahan Computer Sciences and Mathematics Forum 3 (1), 3, 2022 | 13 | 2022 |
| The role of entropy and reconstruction in multi-view self-supervised learning BR Gálvez, A Blaas, P Rodríguez, A Golinski, X Suau, J Ramapuram, ... International Conference on Machine Learning, 29143-29160, 2023 | 12 | 2023 |
| More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validity B Rodríguez-Gálvez, R Thobaben, M Skoglund arXiv preprint arXiv:2306.12214, 2023 | 10 | 2023 |
| Thompson sampling regret bounds for contextual bandits with sub-Gaussian rewards A Gouverneur, B Rodríguez-Gálvez, TJ Oechtering, M Skoglund 2023 IEEE International Symposium on Information Theory (ISIT), 1306-1311, 2023 | 6 | 2023 |
| Upper bounds on the generalization error of private algorithms for discrete data B Rodríguez-Gálvez, G Bassi, M Skoglund IEEE Transactions on Information Theory 67 (11), 7362-7379, 2021 | 6 | 2021 |
| An information-theoretic analysis of bayesian reinforcement learning A Gouverneur, B Rodríguez-Gálvez, TJ Oechtering, M Skoglund 2022 58th Annual Allerton Conference on Communication, Control, and …, 2022 | 4 | 2022 |
| An information-theoretic approach to generalization theory B Rodríguez-Gálvez, R Thobaben, M Skoglund arXiv preprint arXiv:2408.13275, 2024 | 3 | 2024 |
| The Information Bottleneck: Connections to Other Problems, Learning and Exploration of the IB Curve B Rodríguez Gálvez KTH Royal Institute of Technology, 2019 | 2 | 2019 |
| On information theoretic fairness: Compressed representations with perfect demographic parity A Zamani, B Rodríguez-Gálvez, M Skoglund 2024 IEEE Information Theory Workshop (ITW), 25-30, 2024 | 1 | 2024 |
| Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems A Gouverneur, B Rodríguez-Gálvez, TJ Oechtering, M Skoglund arXiv preprint arXiv:2403.03361, 2024 | 1 | 2024 |
| An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits A Gouverneur, B Rodríguez-Gálvez, TJ Oechtering, M Skoglund arXiv preprint arXiv:2412.02861, 2024 | | 2024 |
| Information-Theoretic Minimax Regret Bounds for Reinforcement Learning based on Duality R Bongole, A Gouverneur, B Rodríguez-Gálvez, TJ Oechtering, ... arXiv preprint arXiv:2410.16013, 2024 | | 2024 |
| A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry M Lindström, B Rodríguez-Gálvez, R Thobaben, M Skoglund arXiv preprint arXiv:2407.07664, 2024 | | 2024 |
Mikael SkoglundKTH Royal Institute of TechnologyVerified email at kth.se
