Fabian Pedregosa
27 papers · 2011–2024 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Fabian Pedregosa?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Mathieu Blondel, Alexandre Gramfort, Atish Agarwala
5 papers
· 2011–2024
· NeurIPS, JMLR, ICML
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Stepping on the Edge: Curvature Aware Learning Rate Tuners
NeurIPS 2024
Second-order regression models exhibit progressive sharpening to the edge of stability
ICML 2023
Efficient and Modular Implicit Differentiation
NeurIPS 2022
On the Consistency of Ordinal Regression Methods
JMLR 2017
Scikit-learn: Machine Learning in Python
JMLR 2011
7 papers whose co-authors appear nowhere else under this name
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
AISTATS 2023
GradMax: Growing Neural Networks using Gradient Information
ICLR 2022
On Implicit Bias in Overparameterized Bilevel Optimization
ICML 2022
On the interplay between noise and curvature and its effect on optimization and generalization
AISTATS 2020
Proximal Splitting Meets Variance Reduction
AISTATS 2019
Frank-Wolfe with Subsampling Oracle
ICML 2018
Hyperparameter optimization with approximate gradient
ICML 2016