Luca Pesce
Orcid: 0000-0001-9610-2615
According to our database1,
Luca Pesce
authored at least 14 papers
between 2021 and 2024.
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Bibliography
2024
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities.
CoRR, 2024
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs.
CoRR, 2024
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions.
CoRR, 2024
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation.
Proceedings of the International Conference on Machine Learning, 2023
2022
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021