Luca Arnaboldi

According to our database, Luca Arnaboldi authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs.

Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan

CoRR, 2024

Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions.

Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Luca Pesce, Ludovic Stephan

CoRR, 2024

The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents.

Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs.

Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Escaping mediocrity: how two-layer networks learn hard single-index models with SGD.

Luca Arnaboldi, Florent Krzakala, Bruno Loureiro, Ludovic Stephan

CoRR, 2023

From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks.

Luca Arnaboldi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023