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Fabian Pedregosa

INRIA Saclay - Ile de France

Efficient and Modular Implicit Differentiation


May 31, 2021
Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert


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Boosting Variational Inference With Locally Adaptive Step-Sizes


May 19, 2021
Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch


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Bridging the Gap Between Adversarial Robustness and Optimization Bias


Feb 17, 2021
Fartash Faghri, Cristina Vasconcelos, David J. Fleet, Fabian Pedregosa, Nicolas Le Roux


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


Feb 08, 2021
Courtney Paquette, Kiwon Lee, Fabian Pedregosa, Elliot Paquette


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Average-case Acceleration for Bilinear Games and Normal Matrices


Oct 05, 2020
Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur

* 24 pages, 1 figure 

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


Jun 08, 2020
Courtney Paquette, Bart van Merriënboer, Fabian Pedregosa


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Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization


Feb 29, 2020
Geoffrey Négiar, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Fabian Pedregosa


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The Geometry of Sign Gradient Descent


Feb 19, 2020
Lukas Balles, Fabian Pedregosa, Nicolas Le Roux


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Average-case Acceleration Through Spectral Density Estimation


Feb 13, 2020
Fabian Pedregosa, Damien Scieur


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


Oct 08, 2019
Elena Kalinina, Fabian Pedregosa, Vittorio Iacovella, Emanuele Olivetti, Paolo Avesani

* 5 figures, tables after References (as required by SciRep template) 

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The Difficulty of Training Sparse Neural Networks


Jul 17, 2019
Utku Evci, Fabian Pedregosa, Aidan Gomez, Erich Elsen

* sparse networks, pruning, energy landscape, sparsity 

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Information matrices and generalization


Jun 18, 2019
Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Mangazol, Yoshua Bengio, Nicolas Le Roux


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Adaptive Three Operator Splitting


Jul 31, 2018
Fabian Pedregosa, Gauthier Gidel

* Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4082-4091, 2018 

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Scikit-learn: Machine Learning in Python


Jun 05, 2018
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Andreas Müller, Joel Nothman, Gilles Louppe, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay

* Journal of Machine Learning Research (2011) 
* Update authors list and URLs 

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Frank-Wolfe Splitting via Augmented Lagrangian Method


Apr 09, 2018
Gauthier Gidel, Fabian Pedregosa, Simon Lacoste-Julien

* Appears in: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018). 30 pages 

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Frank-Wolfe with Subsampling Oracle


Mar 20, 2018
Thomas Kerdreux, Fabian Pedregosa, Alexandre d'Aspremont


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Improved asynchronous parallel optimization analysis for stochastic incremental methods


Jan 12, 2018
Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien

* 67 pages 

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ASAGA: Asynchronous Parallel SAGA


Nov 08, 2017
Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien

* Appears in: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), 37 pages 

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


Nov 05, 2017
Fabian Pedregosa, Rémi Leblond, Simon Lacoste-Julien

* Advances in Neural Information Processing Systems 30 (NIPS 2017) 
* Appears in Advances in Neural Information Processing Systems 30 (NIPS 2017), 28 pages 

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On the Consistency of Ordinal Regression Methods


Jul 21, 2017
Fabian Pedregosa, Francis Bach, Alexandre Gramfort

* Journal of Machine Learning Research 18 (2017) 1-35 
* Journal of Machine Learning Research 18 (2017) 

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On the convergence rate of the three operator splitting scheme


Dec 22, 2016
Fabian Pedregosa

* Fixed some typos 

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Hyperparameter optimization with approximate gradient


Jun 26, 2016
Fabian Pedregosa

* Proceedings of the International conference on Machine Learning (ICML) 

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Machine Learning for Neuroimaging with Scikit-Learn


Dec 12, 2014
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Muller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gäel Varoquaux

* Frontiers in neuroscience, Frontiers Research Foundation, 2013, pp.15 

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Data-driven HRF estimation for encoding and decoding models


Nov 07, 2014
Fabian Pedregosa, Michael Eickenberg, Philippe Ciuciu, Bertrand Thirion, Alexandre Gramfort

* appears in NeuroImage (2015) 

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API design for machine learning software: experiences from the scikit-learn project


Sep 01, 2013
Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake Vanderplas, Arnaud Joly, Brian Holt, Gaël Varoquaux

* European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (2013) 

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Second order scattering descriptors predict fMRI activity due to visual textures


Aug 10, 2013
Michael Eickenberg, Fabian Pedregosa, Senoussi Mehdi, Alexandre Gramfort, Bertrand Thirion

* 3nd International Workshop on Pattern Recognition in NeuroImaging (2013) 

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HRF estimation improves sensitivity of fMRI encoding and decoding models


May 13, 2013
Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion, Alexandre Gramfort

* 3nd International Workshop on Pattern Recognition in NeuroImaging (2013) 

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Learning to rank from medical imaging data


Sep 30, 2012
Fabian Pedregosa, Alexandre Gramfort, Gaël Varoquaux, Elodie Cauvet, Christophe Pallier, Bertrand Thirion

* MLMI 2012 - 3rd International Workshop on Machine Learning in Medical Imaging (2012) 

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