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Analyzing Inexact Hypergradients for Bilevel Learning
v1v2 (latest)

Analyzing Inexact Hypergradients for Bilevel Learning

IMA Journal of Applied Mathematics (IMA J. Appl. Math.), 2023
11 January 2023
Matthias Joachim Ehrhardt
Lindon Roberts
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "Analyzing Inexact Hypergradients for Bilevel Learning"

7 / 7 papers shown
Bilevel Learning via Inexact Stochastic Gradient Descent
Bilevel Learning via Inexact Stochastic Gradient Descent
Mohammad Salehi
Subhadip Mukherjee
Lindon Roberts
Matthias Joachim Ehrhardt
141
0
0
10 Nov 2025
Learning Regularization Functionals for Inverse Problems: A Comparative Study
Learning Regularization Functionals for Inverse Problems: A Comparative Study
J. Hertrich
Matthias Joachim Ehrhardt
Alexander Denker
Stanislas Ducotterd
Zhenghan Fang
...
German Shâma Wache
Martin Zach
Yasi Zhang
Matthias Joachim Ehrhardt
Sebastian Neumayer
234
10
0
02 Oct 2025
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
Samuel Boïté
Eloi Tanguy
J. Delon
A. Desolneux
Rémi Flamary
OT
377
0
0
02 Sep 2025
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningSIAM Journal on Mathematics of Data Science (SIMODS), 2023
Mohammad Salehi
Subhadip Mukherjee
Lindon Roberts
Matthias Joachim Ehrhardt
545
11
0
19 Aug 2023
On Optimal Regularization Parameters via Bilevel Learning
On Optimal Regularization Parameters via Bilevel Learning
Matthias Joachim Ehrhardt
S. Gazzola
S. J. Scott
443
6
0
28 May 2023
One-step differentiation of iterative algorithms
One-step differentiation of iterative algorithmsNeural Information Processing Systems (NeurIPS), 2023
Jérôme Bolte
Edouard Pauwels
Samuel Vaiter
315
28
0
23 May 2023
Convergence Properties of Stochastic Hypergradients
Convergence Properties of Stochastic HypergradientsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Riccardo Grazzi
Massimiliano Pontil
Saverio Salzo
614
28
0
13 Nov 2020
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