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2002.03722
Cited By
Super-efficiency of automatic differentiation for functions defined as a minimum
International Conference on Machine Learning (ICML), 2020
10 February 2020
Pierre Ablin
Gabriel Peyré
Thomas Moreau
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Papers citing
"Super-efficiency of automatic differentiation for functions defined as a minimum"
27 / 27 papers shown
Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
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Peter Ochs
352
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Let Go of Your Labels with Unsupervised Transfer
Artyom Gadetsky
Yulun Jiang
Maria Brbić
VLM
289
16
0
11 Jun 2024
Derivatives of Stochastic Gradient Descent
F. Iutzeler
Edouard Pauwels
Samuel Vaiter
270
1
0
24 May 2024
Functional Bilevel Optimization for Machine Learning
Ieva Petrulionyte
Julien Mairal
Michael Arbel
559
22
0
29 Mar 2024
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
Zhenzhang Ye
Gabriel Peyré
Daniel Cremers
Pierre Ablin
321
2
0
26 Feb 2024
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
International Conference on Machine Learning (ICML), 2023
Alexander Lin
Bahareh Tolooshams
Yves Atchadé
Demba E. Ba
229
1
0
05 Jun 2023
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
International Conference on Machine Learning (ICML), 2023
Yu-Shuen Tang
Zhimin Ding
Dimitrije Jankov
Binhang Yuan
Daniel Bourgeois
C. Jermaine
BDL
436
7
0
31 May 2023
One-step differentiation of iterative algorithms
Neural Information Processing Systems (NeurIPS), 2023
Jérôme Bolte
Edouard Pauwels
Samuel Vaiter
320
28
0
23 May 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints
International Conference on Machine Learning (ICML), 2023
Jiayang Li
Jiahao Yu
Boyi Liu
Zhaoran Wang
Y. Nie
316
10
0
20 Feb 2023
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Mathieu Dagréou
Thomas Moreau
Samuel Vaiter
Pierre Ablin
368
18
0
17 Feb 2023
The Curse of Unrolling: Rate of Differentiating Through Optimization
Neural Information Processing Systems (NeurIPS), 2022
Damien Scieur
Quentin Bertrand
Gauthier Gidel
Fabian Pedregosa
342
17
0
27 Sep 2022
Automatic differentiation of nonsmooth iterative algorithms
Neural Information Processing Systems (NeurIPS), 2022
Jérôme Bolte
Edouard Pauwels
Samuel Vaiter
369
31
0
31 May 2022
Learning Energy Networks with Generalized Fenchel-Young Losses
Neural Information Processing Systems (NeurIPS), 2022
Mathieu Blondel
Felipe Llinares-López
Robert Dadashi
Léonard Hussenot
Matthieu Geist
293
10
0
19 May 2022
Trajectory Inference via Mean-field Langevin in Path Space
Neural Information Processing Systems (NeurIPS), 2022
Lénaïc Chizat
Stephen X. Zhang
Matthieu Heitz
Geoffrey Schiebinger
435
34
0
14 May 2022
A Unified Framework for Implicit Sinkhorn Differentiation
Computer Vision and Pattern Recognition (CVPR), 2022
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Florian Bernard
Zorah Lähner
AI4CE
219
31
0
13 May 2022
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
International Conference on Learning Representations (ICLR), 2021
Michael Arbel
Julien Mairal
389
74
0
29 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang
David W. Zhang
Damien Scieur
Gertjan J. Burghouts
Cees G. M. Snoek
BDL
303
22
0
23 Nov 2021
Gradients are Not All You Need
Luke Metz
C. Freeman
S. Schoenholz
Tal Kachman
333
108
0
10 Nov 2021
Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games
Shinsaku Sakaue
Kengo Nakamura
230
4
0
05 Oct 2021
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
International Conference on Machine Learning (ICML), 2021
Johannes Klicpera
Marten Lienen
Stephan Günnemann
OT
248
14
0
14 Jul 2021
Understanding approximate and unrolled dictionary learning for pattern recovery
International Conference on Learning Representations (ICLR), 2021
Benoit Malézieux
Thomas Moreau
M. Kowalski
MU
293
17
0
11 Jun 2021
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
International Conference on Machine Learning (ICML), 2021
Valerii Likhosherstov
Xingyou Song
K. Choromanski
Jared Davis
Adrian Weller
AI4CE
352
5
0
04 Jun 2021
Stable and Interpretable Unrolled Dictionary Learning
Bahareh Tolooshams
Demba E. Ba
583
22
0
31 May 2021
Efficient and Modular Implicit Differentiation
Neural Information Processing Systems (NeurIPS), 2021
Mathieu Blondel
Quentin Berthet
Marco Cuturi
Roy Frostig
Stephan Hoyer
Felipe Llinares-López
Fabian Pedregosa
Jean-Philippe Vert
574
317
0
31 May 2021
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
Journal of machine learning research (JMLR), 2021
Quentin Bertrand
Quentin Klopfenstein
Mathurin Massias
Mathieu Blondel
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
363
33
0
04 May 2021
Convergence Properties of Stochastic Hypergradients
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Riccardo Grazzi
Massimiliano Pontil
Saverio Salzo
618
28
0
13 Nov 2020
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution
Bahareh Tolooshams
S. Mulleti
Demba E. Ba
Yonina C. Eldar
260
9
0
22 Oct 2020
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