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Enea Monzio Compagnoni
Enea Monzio Compagnoni
PhD Student - University of Basel
Verified email at unibas.ch - Homepage
Title
Cited by
Cited by
Year
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
362023
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
152025
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
72025
SDEs for Minimax Optimization
EM Compagnoni, A Orvieto, H Kersting, FN Proske, A Lucchi
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2024
62024
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
22025
Risk Sharing with Deep Neural Networks
M Burzoni, A Doldi, E Monzio Compagnoni
Quantitative Finance, 2024 24 (2), 233-252, 2024
22024
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
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Articles 1–8