| An SDE for Modeling SAM: Theory and Insights EM Compagnoni, L Biggio, A Orvieto, FN Proske, H Kersting, A Lucchi International Conference on Machine Learning, 25209-25253, 2023 | 36 | 2023 |
| On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics EM Compagnoni, A Scampicchio, L Biggio, A Orvieto, T Hofmann, ... 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 34* | 2023 |
| Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise EM Compagnoni, T Liu, R Islamov, FN Proske, A Orvieto, A Lucchi International Conference on Learning Representations (ICLR 2025), 2025 | 15 | 2025 |
| Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs EM Compagnoni, R Islamov, FN Proske, A Lucchi The 28th International Conference on Artificial Intelligence and Statistics, 2025 | 7 | 2025 |
| SDEs for Minimax Optimization EM Compagnoni, A Orvieto, H Kersting, FN Proske, A Lucchi International Conference on Artificial Intelligence and Statistics (AISTATS …, 2024 | 6 | 2024 |
| On the Interaction of Noise, Compression Role, and Adaptivity under -Smoothness: An SDE-based Approach EM Compagnoni, R Islamov, A Orvieto, E Gorbunov Forty-Second International Conference on Machine Learning (ICML 2025) - 3rd …, 2025 | 2 | 2025 |
| Risk Sharing with Deep Neural Networks M Burzoni, A Doldi, E Monzio Compagnoni Quantitative Finance, 2024 24 (2), 233-252, 2024 | 2 | 2024 |
| On the Interaction of Noise, Compression, and Adaptivity under -Smoothness: An SDE Approach EM Compagnoni, R Islamov, A Orvieto, E Gorbunov High-dimensional Learning Dynamics 2025, 0 | | |
Antonio OrvietoELLIS Institute Tübingen, Max Planck Institute for Intelligent SystemsVerified email at tue.ellis.eu
