Fabian Pedregosa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
6
Active years
2012–2023
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | AISTATS | A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces. | Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland, Fabian Pedregosa, Rishabh Agarwal, Marc G. Bellemare |
| 2023 | ICML | Second-order regression models exhibit progressive sharpening to the edge of stability. | Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington |
| 2022 | AISTATS | Super-Acceleration with Cyclical Step-sizes. | Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa |
| 2022 | ICLR | GradMax: Growing Neural Networks using Gradient Information. | Utku Evci, Bart van Merrienboer, Thomas Unterthiner, Fabian Pedregosa, Max Vladymyrov |
| 2022 | ICML | Only tails matter: Average-Case Universality and Robustness in the Convex Regime. | Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette |
| 2022 | ICML | On Implicit Bias in Overparameterized Bilevel Optimization. | Paul Vicol, Jonathan P. Lorraine, Fabian Pedregosa, David Duvenaud, Roger B. Grosse |
| 2021 | COLT | SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality. | Courtney Paquette, Kiwon Lee, Fabian Pedregosa, Elliot Paquette |
| 2021 | ICLR | Average-case Acceleration for Bilinear Games and Normal Matrices. | Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur |
| 2021 | IJCAI | Boosting Variational Inference With Locally Adaptive Step-Sizes. | Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rtsch |
| 2020 | AISTATS | Linearly Convergent Frank-Wolfe without Line-Search. | Fabian Pedregosa, Geoffrey Ngiar, Armin Askari, Martin Jaggi |
| 2020 | AISTATS | On the interplay between noise and curvature and its effect on optimization and generalization. | Valentin Thomas, Fabian Pedregosa, Bart van Merrinboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux |
| 2020 | ICML | Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization. | Geoffrey Ngiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Robert Freund, Fabian Pedregosa |
| 2020 | ICML | Acceleration through spectral density estimation. | Fabian Pedregosa, Damien Scieur |
| 2020 | ICML | Universal Asymptotic Optimality of Polyak Momentum. | Damien Scieur, Fabian Pedregosa |
| 2019 | AISTATS | Proximal Splitting Meets Variance Reduction. | Fabian Pedregosa, Kilian Fatras, Mattia Casotto |
| 2018 | AISTATS | Frank-Wolfe Splitting via Augmented Lagrangian Method. | Gauthier Gidel, Fabian Pedregosa, Simon Lacoste-Julien |
| 2018 | ICML | Frank-Wolfe with Subsampling Oracle. | Thomas Kerdreux, Fabian Pedregosa, Alexandre d'Aspremont |
| 2018 | ICML | Adaptive Three Operator Splitting. | Fabian Pedregosa, Gauthier Gidel |
| 2017 | AISTATS | ASAGA: Asynchronous Parallel SAGA. | Rmi Leblond, Fabian Pedregosa, Simon Lacoste-Julien |
| 2016 | ICML | Hyperparameter optimization with approximate gradient. | Fabian Pedregosa |
| 2012 | MICCAI | Learning to Rank from Medical Imaging Data. | Fabian Pedregosa, Elodie Cauvet, Gal Varoquaux, Christophe Pallier, Bertrand Thirion, Alexandre Gramfort |