Stefano Vigogna

According to our database1, Stefano Vigogna authored at least 9 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Spectral complexity of deep neural networks.
CoRR, 2024

Neural reproducing kernel Banach spaces and representer theorems for deep networks.
CoRR, 2024

2023
How many samples are needed to leverage smoothness?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Case of Exponential Convergence Rates for SVM.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Multiclass learning with margin: exponential rates with no bias-variance trade-off.
Proceedings of the International Conference on Machine Learning, 2022

2021
Understanding neural networks with reproducing kernel Banach spaces.
CoRR, 2021

Multiscale regression on unknown manifolds.
CoRR, 2021

ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2016
Learning adaptive multiscale approximations to data and functions near low-dimensional sets.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016


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