research
∙
06/12/2020
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval
Despite the widespread use of gradient-based algorithms for optimizing h...
share
research
∙
07/18/2019
Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model
Gradient-based algorithms are effective for many machine learning tasks,...
research
∙
05/29/2019
How to iron out rough landscapes and get optimal performances: Replicated Gradient Descent and its application to tensor PCA
In many high-dimensional estimation problems the main task consists in m...
research
∙
12/21/2018
Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference
Gradient-descent-based algorithms and their stochastic versions have wid...
research
∙
04/08/2018
