Pierre Ablin

About Pierre Ablin

Pierre Ablin, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at École Normale Supérieure, specializes in the field of Optimization, Machine Learning, Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

How to compute Hessian-vector products?

Careful with that Scalpel: Improving Gradient Surgery with an EMA

Specialized Language Models with Cheap Inference from Limited Domain Data

Understanding the Regularity of Self-Attention with Optimal Transport

Bilevel Optimization to Learn Training Distributions for Language Modeling under Domain Shift

Adaptive Training Distributions with Scalable Online Bilevel Optimization

A Challenge in Reweighting Data with Bilevel Optimization

Pierre Ablin Information

University

Position

___

Citations(all)

804

Citations(since 2020)

788

Cited By

154

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Pierre Ablin Skills & Research Interests

Optimization

Machine Learning

Statistics

Top articles of Pierre Ablin

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

arXiv preprint arXiv:2402.16748

2024/2/26

How to compute Hessian-vector products?

2024/2/16

Pierre Ablin
Pierre Ablin

H-Index: 7

Careful with that Scalpel: Improving Gradient Surgery with an EMA

arXiv preprint arXiv:2402.02998

2024/2/5

James Thornton
James Thornton

H-Index: 0

Pierre Ablin
Pierre Ablin

H-Index: 7

Specialized Language Models with Cheap Inference from Limited Domain Data

arXiv preprint arXiv:2402.01093

2024/2/2

Pierre Ablin
Pierre Ablin

H-Index: 7

Understanding the Regularity of Self-Attention with Optimal Transport

arXiv preprint arXiv:2312.14820

2023/12/22

Pierre Ablin
Pierre Ablin

H-Index: 7

Gabriel Peyré
Gabriel Peyré

H-Index: 46

Bilevel Optimization to Learn Training Distributions for Language Modeling under Domain Shift

2023/12/7

Pierre Ablin
Pierre Ablin

H-Index: 7

Adaptive Training Distributions with Scalable Online Bilevel Optimization

arXiv preprint arXiv:2311.11973

2023/11/20

Pierre Ablin
Pierre Ablin

H-Index: 7

A Challenge in Reweighting Data with Bilevel Optimization

arXiv preprint arXiv:2310.17386

2023/10/26

Anastasia Ivanova
Anastasia Ivanova

H-Index: 30

Pierre Ablin
Pierre Ablin

H-Index: 7

Optimization without retraction on the random generalized Stiefel manifold for canonical correlation analysis

2023/10/13

MultiView Independent Component Analysis with Delays

2023/9/17

Pierre Ablin
Pierre Ablin

H-Index: 7

How to Scale Your EMA

Advances in Neural Information Processing Systems

2023/7/25

Pierre Ablin
Pierre Ablin

H-Index: 7

Learning costs for structured monge displacements

arXiv preprint arXiv:2306.11895

2023/6/20

Pierre Ablin
Pierre Ablin

H-Index: 7

Jonathan Niles-Weed
Jonathan Niles-Weed

H-Index: 16

Test like you Train in Implicit Deep Learning

arXiv preprint arXiv:2305.15042

2023/5/24

Pierre Ablin
Pierre Ablin

H-Index: 7

Gabriel Peyré
Gabriel Peyré

H-Index: 46

Infeasible deterministic, stochastic, and variance-reduction algorithms for optimization under orthogonality constraints

arXiv preprint arXiv:2303.16510

2023/3/29

Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps

Proceedings of the 40th International Conference on Machine Learning

2023/2/8

Pierre Ablin
Pierre Ablin

H-Index: 7

A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization

arXiv preprint arXiv:2302.08766

2023/2

Pierre Ablin
Pierre Ablin

H-Index: 7

Fast and accurate optimization on the orthogonal manifold without retraction

2022/5/3

Pierre Ablin
Pierre Ablin

H-Index: 7

Gabriel Peyré
Gabriel Peyré

H-Index: 46

A framework for bilevel optimization that enables stochastic and global variance reduction algorithms

Advances in Neural Information Processing Systems

2022/1/31

Pierre Ablin
Pierre Ablin

H-Index: 7

Optimization flows landing on the Stiefel manifold⋆

IFAC-PapersOnLine

2022/1/1

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

Advances in Neural Information Processing Systems

2022/12/6

See List of Professors in Pierre Ablin University(École Normale Supérieure)

Co-Authors

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