FP
Fabian Pedregosa
cs.LGmath.OCstat.MLcs.CVcs.AIcs.MSDecodingMVPAphysics.comp-phAlgorithms
On Valency
published · living versionsW_mwxm5nnj·v1 · currentpublished
SciPy 1.0–Fundamental Algorithms for Scientific Computing in Python
with Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland +30
1 version
W_dwtmxhph·v1published
Preprints & journals
52 papers in the corpus · 2011–2025Olympiad-level formal mathematical reasoning with reinforcement learning.41225005 · Hubert, Thomas, Mehta, Rishi, Sartran, Laurent et al.2026 · 19 citationsNature. 2026;651(8106):607-613
How far away are truly hyperparameter-free learning algorithms?2505.24005v1 · Priya Kasimbeg, Vincent Roulet, Naman Agarwal et al.2025 · 0 citationsarXiv
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method2411.04388v1 · Teodora Baluta, Pascal Lamblin, Daniel Tarlow et al.2024 · 0 citationsarXiv
Stepping on the Edge: Curvature Aware Learning Rate Tuners2407.06183v1 · Vincent Roulet, Atish Agarwala, Jean-Bastien Grill et al.2024 · 1 citationarXiv
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition2406.09073v1 · Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa et al.2024 · 1 citationarXiv
Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators2402.13984v3 · Sanjeev Raja, Ishan Amin, Fabian Pedregosa et al.2024 · 4 citationsTransactions on Machine Learning Research, 2025
On the Interplay Between Stepsize Tuning and Progressive Sharpening2312.00209v3 · Vincent Roulet, Atish Agarwala, Fabian Pedregosa2023 · 0 citationsarXiv
On Implicit Bias in Overparameterized Bilevel Optimization2212.14032v1 · Paul Vicol, Jonathan Lorraine, Fabian Pedregosa et al.2022 · 8 citationsarXiv
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces2212.04025v1 · Charline Le Lan, Joshua Greaves, Jesse Farebrother et al.2022 · 0 citationsarXiv
When is Momentum Extragradient Optimal? A Polynomial-Based Analysis2211.04659v3 · Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis et al.2022 · 0 citationsarXiv
Second-order regression models exhibit progressive sharpening to the edge of stability2210.04860v1 · Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington2022 · 2 citationsarXiv
The Curse of Unrolling: Rate of Differentiating Through Optimization2209.13271v3 · Damien Scieur, Quentin Bertrand, Gauthier Gidel et al.2022 · 3 citationsarXiv
Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime2206.09901v2 · Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa et al.2022 · 1 citationarXiv
Cutting Some Slack for SGD with Adaptive Polyak Stepsizes2202.12328v2 · Robert M. Gower, Mathieu Blondel, Nidham Gazagnadou et al.2022 · 3 citationsarXiv
GradMax: Growing Neural Networks using Gradient Information2201.05125v3 · Utku Evci, Bart van Merrienboer, Thomas Unterthiner et al.2022 · 12 citationsInternational Conference on Learning Representations, 2022
Super-Acceleration with Cyclical Step-sizes2106.09687v3 · Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut et al.2021 · 7 citationsProceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3028-3065, 2022
Efficient and Modular Implicit Differentiation2105.15183v5 · Mathieu Blondel, Quentin Berthet, Marco Cuturi et al.2021 · 110 citationsarXiv
Boosting Variational Inference With Locally Adaptive Step-Sizes2105.09240v1 · Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa et al.2021 · 1 citationarXiv
Identification of Bioactive Compounds of Asparagus officinalis L.: Permutation Test Allows Differentiation among "Triguero" and Hybrid Green Varieties.33804205 · Jiménez-Sánchez, Cecilia, Pedregosa, Fabián, Borrás-Linares, Isabel et al.2021 · 7 citationsMolecules (Basel, Switzerland). 2021;26(6)
Bridging the Gap Between Adversarial Robustness and Optimization Bias2102.08868v2 · Fartash Faghri, Sven Gowal, Cristina Vasconcelos et al.2021 · 4 citationsarXiv
SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality2102.04396v1 · Courtney Paquette, Kiwon Lee, Fabian Pedregosa et al.2021 · 6 citationsarXiv
Average-case Acceleration for Bilinear Games and Normal Matrices2010.02076v1 · Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur2020 · 1 citationarXiv
Halting Time is Predictable for Large Models: A Universality Property and Average-case Analysis2006.04299v3 · Courtney Paquette, Bart van Merrienboer, Elliot Paquette et al.2020 · 14 citationsarXiv
Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python.32094914 · Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E et al.2021 · 1,842 citationsNature methods. 2020;17(3):352
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization2002.11860v6 · Geoffrey N'egiar, Gideon Dresdner, Alicia Tsai et al.2020 · 10 citationsarXiv
The Geometry of Sign Gradient Descent2002.08056v1 · Lukas Balles, Fabian Pedregosa, Nicolas Le Roux2020 · 7 citationsarXiv
Average-case Acceleration Through Spectral Density Estimation2002.04756v7 · Fabian Pedregosa, Damien Scieur2020 · 8 citationsProceedings of the 37th International Conference on Machine Learning, PMLR 119, 2020
Universal Average-Case Optimality of Polyak Momentum2002.04664v4 · Damien Scieur, Fabian Pedregosa2020 · 3 citationsProceedings of the 37th International Conference on Machine Learning, PMLR 119, 2020
A Test for Shared Patterns in Cross-modal Brain Activation Analysis1910.05271v1 · Elena Kalinina, Fabian Pedregosa, Vittorio Iacovella et al.2019 · 0 citationsarXiv
SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python1907.10121v1 · Pauli Virtanen, Ralf Gommers, Travis E. Oliphant et al.2019 · 38,102 citationsNature Methods 17, 261 (2020)on Valency
The Difficulty of Training Sparse Neural Networks1906.10732v3 · Utku Evci, Fabian Pedregosa, Aidan Gomez et al.2019 · 47 citationsarXiv
On the interplay between noise and curvature and its effect on optimization and generalization1906.07774v2 · Valentin Thomas, Fabian Pedregosa, Bart van Merrienboer et al.2019 · 15 citationsarXiv
Proximal Splitting Meets Variance Reduction1806.07294v2 · Fabian Pedregosa, Kilian Fatras, Mattia Casotto2018 · 7 citationsProceedings of the 22nd International Conference on Artificial Intelligence and Statistics 2019
Linearly Convergent Frank-Wolfe with Backtracking Line-Search1806.05123v5 · Fabian Pedregosa, Geoffrey Negiar, Armin Askari et al.2018 · 14 citationsProceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020
Frank-Wolfe Splitting via Augmented Lagrangian Method1804.03176v1 · Gauthier Gidel, Fabian Pedregosa, Simon Lacoste-Julien2018 · 8 citationsarXiv
Adaptive Three Operator Splitting1804.02339v3 · Fabian Pedregosa, Gauthier Gidel2018 · 12 citationsProceedings of the 35th International Conference on Machine Learning, PMLR 80:4082-4091, 2018
Frank-Wolfe with Subsampling Oracle1803.07348v1 · Thomas Kerdreux, Fabian Pedregosa, Alexandre d'Aspremont2018 · 7 citationsarXiv
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization1707.06468v3 · Fabian Pedregosa, R'emi Leblond, Simon Lacoste-Julien2017 · 21 citationsAdvances in Neural Information Processing Systems 30 (NIPS 2017)
Group-level spatio-temporal pattern recovery in MEG decoding using multi-task joint feature learning.28495369 · Kia, Seyed Mostafa, Pedregosa, Fabian, Blumenthal, Anna et al.2018 · 16 citationsJournal of neuroscience methods. 2017;285:97-108
On the convergence rate of the three operator splitting scheme1610.07830v5 · Fabian Pedregosa2016 · 2 citationsarXiv
Word meaning in the ventral visual path: a perceptual to conceptual gradient of semantic coding.27592809 · Borghesani, Valentina, Pedregosa, Fabian, Buiatti, Marco et al.2018 · 89 citationsNeuroImage. 2016;143:128-140
ASAGA: Asynchronous Parallel SAGA1606.04809v3 · R'emi Leblond, Fabian Pedregosa, Simon Lacoste-Julien2016 · 36 citationsarXiv
Hyperparameter optimization with approximate gradient1602.02355v6 · Fabian Pedregosa2016 · 217 citationsarXiv
Data-driven HRF estimation for encoding and decoding models.25304775 · Pedregosa, Fabian, Eickenberg, Michael, Ciuciu, Philippe et al.2015 · 66 citationsNeuroImage. 2015;104:209-20
On the Consistency of Ordinal Regression Methods1408.2327v9 · Fabian Pedregosa, Francis Bach, Alexandre Gramfort2014 · 50 citationsJournal of Machine Learning Research 18 (2017) 1-35
Machine learning for neuroimaging with scikit-learn.24600388 · Abraham, Alexandre, Pedregosa, Fabian, Eickenberg, Michael et al.2014 · 2,421 citationsFrontiers in neuroinformatics. 2014;8:14
Second order scattering descriptors predict fMRI activity due to visual textures1310.1257v1 · Michael Eickenberg, Fabian Pedregosa, Senoussi Mehdi et al.2013 · 3 citationsarXiv
HRF estimation improves sensitivity of fMRI encoding and decoding models1305.2788v1 · Fabian Pedregosa, Michael Eickenberg, Bertrand Thirion et al.2013 · 9 citationsarXiv
Learning to rank from medical imaging data1207.3598v2 · Fabian Pedregosa, Alexandre Gramfort, Gael Varoquaux et al.2012 · 22 citationsMLMI 2012 - 3rd International Workshop on Machine Learning in Medical Imaging (2012)
Improved brain pattern recovery through ranking approaches1207.3520v1 · Fabian Pedregosa, Alexandre Gramfort, Gael Varoquaux et al.2012 · 4 citationsPattern Recognition in NeuroImaging (PRNI 2012) (2012)
Career total: 98 works. 52 are in this corpus.Showing the 50 most recent.
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