Fabian Pedregosa

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Currently a Marie Skłodowska-Curie postdoctoral fellow between ETH Zurich and UC Berkeley.

SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality

We propose a new framework, inspired by random matrix theory, for analyz...
02/08/2021 ∙ by Courtney Paquette, et al. ∙ 0 ∙ share

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Average-case Acceleration for Bilinear Games and Normal Matrices

Advances in generative modeling and adversarial learning have given rise...
10/05/2020 ∙ by Carles Domingo Enrich, et al. ∙ 0 ∙ share

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Halting Time is Predictable for Large Models: A Universality Property and Average-case Analysis

Average-case analysis computes the complexity of an algorithm averaged o...
06/08/2020 ∙ by Courtney Paquette, et al. ∙ 8 ∙ share

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Average-case Acceleration Through Spectral Density Estimation

We develop a framework for designing optimal quadratic optimization meth...
02/12/2020 ∙ by Fabian Pedregosa, et al. ∙ 0 ∙ share

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A Test for Shared Patterns in Cross-modal Brain Activation Analysis

Determining the extent to which different cognitive modalities (understo...
10/08/2019 ∙ by Elena Kalinina, et al. ∙ 8 ∙ share

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SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

SciPy is an open source scientific computing library for the Python prog...
07/23/2019 ∙ by Pauli Virtanen, et al. ∙ 0 ∙ share

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The Difficulty of Training Sparse Neural Networks

We investigate the difficulties of training sparse neural networks and m...
06/25/2019 ∙ by Utku Evci, et al. ∙ 5 ∙ share

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Information matrices and generalization

This work revisits the use of information criteria to characterize the g...
06/18/2019 ∙ by Valentin Thomas, et al. ∙ 4 ∙ share

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Frank-Wolfe Splitting via Augmented Lagrangian Method

Minimizing a function over an intersection of convex sets is an importan...
04/09/2018 ∙ by Gauthier Gidel, et al. ∙ 0 ∙ share

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Adaptive Three Operator Splitting

We propose and analyze a novel adaptive step size variant of the Davis-Y...
04/06/2018 ∙ by Fabian Pedregosa, et al. ∙ 0 ∙ share

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Frank-Wolfe with Subsampling Oracle

We analyze two novel randomized variants of the Frank-Wolfe (FW) or cond...
03/20/2018 ∙ by Thomas Kerdreux, et al. ∙ 0 ∙ share

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Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization

Due to their simplicity and excellent performance, parallel asynchronous...
07/20/2017 ∙ by Fabian Pedregosa, et al. ∙ 0 ∙ share

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On the convergence rate of the three operator splitting scheme

The three operator splitting scheme was recently proposed by [Davis and ...
10/25/2016 ∙ by Fabian Pedregosa, et al. ∙ 0 ∙ share

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ASAGA: Asynchronous Parallel SAGA

We describe ASAGA, an asynchronous parallel version of the incremental g...
06/15/2016 ∙ by Rémi Leblond, et al. ∙ 0 ∙ share

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Hyperparameter optimization with approximate gradient

Most models in machine learning contain at least one hyperparameter to c...
02/07/2016 ∙ by Fabian Pedregosa, et al. ∙ 0 ∙ share

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Machine Learning for Neuroimaging with Scikit-Learn

Statistical machine learning methods are increasingly used for neuroimag...
12/12/2014 ∙ by Alexandre Abraham, et al. ∙ 0 ∙ share

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Second order scattering descriptors predict fMRI activity due to visual textures

Second layer scattering descriptors are known to provide good classifica...
08/10/2013 ∙ by Michael Eickenberg, et al. ∙ 0 ∙ share

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Learning to rank from medical imaging data

Medical images can be used to predict a clinical score coding for the se...
07/16/2012 ∙ by Fabian Pedregosa, et al. ∙ 0 ∙ share

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Improved brain pattern recovery through ranking approaches

Inferring the functional specificity of brain regions from functional Ma...
07/15/2012 ∙ by Fabian Pedregosa, et al. ∙ 0 ∙ share

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Fabian Pedregosa

Featured Co-authors

Yoshua Bengio

Simon Lacoste-Julien

Alexandre Gramfort

Gaël Varoquaux

Bertrand Thirion

Erich Elsen

Alexandre d'Aspremont

Gauthier Gidel

Jean Kossaifi

Nicolas Le Roux

Bart van Merriënboer

SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality

Average-case Acceleration for Bilinear Games and Normal Matrices

Halting Time is Predictable for Large Models: A Universality Property and Average-case Analysis

Average-case Acceleration Through Spectral Density Estimation

A Test for Shared Patterns in Cross-modal Brain Activation Analysis

SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

The Difficulty of Training Sparse Neural Networks

Information matrices and generalization

Frank-Wolfe Splitting via Augmented Lagrangian Method

Adaptive Three Operator Splitting

Frank-Wolfe with Subsampling Oracle

Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization

On the convergence rate of the three operator splitting scheme

ASAGA: Asynchronous Parallel SAGA

Hyperparameter optimization with approximate gradient

Machine Learning for Neuroimaging with Scikit-Learn

Second order scattering descriptors predict fMRI activity due to visual textures

Learning to rank from medical imaging data

Improved brain pattern recovery through ranking approaches