Pierfrancesco Urbani

According to our database, Pierfrancesco Urbani authored at least 13 papers between 2018 and 2023.

Collaborative distances:

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

2023

Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape.

Persia Jana Kamali, Pierfrancesco Urbani

CoRR, 2023

2021

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem.

Francesca Mignacco, Pierfrancesco Urbani, Lenka Zdeborová

Mach. Learn. Sci. Technol., September, 2021

The effective noise of Stochastic Gradient Descent.

Francesca Mignacco, Pierfrancesco Urbani

CoRR, 2021

Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem.

Stefano Sarao Mannelli, Pierfrancesco Urbani

CoRR, 2021

Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems.

Stefano Sarao Mannelli, Pierfrancesco Urbani

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification.

Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval.

Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture.

Francesca Mignacco, Florent Krzakala, Yue Lu, Pierfrancesco Urbani, Lenka Zdeborová

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model.

Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

CoRR, 2019

Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models.

Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference.

Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

CoRR, 2018

Approximate Survey Propagation for Statistical Inference.

Fabrizio Antenucci, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

CoRR, 2018

On the glassy nature of the hard phase in inference problems.

Fabrizio Antenucci, Silvio Franz, Pierfrancesco Urbani, Lenka Zdeborová

CoRR, 2018