Suivre
Ievgen Redko
Ievgen Redko
Principal research scientist, HDR, Paris Noah's Ark lab
Adresse e-mail validée de huawei.com - Page d'accueil
Titre
Citée par
Citée par
Année
POT: Python Optimal Transport
R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ...
Journal of Machine Learning Research 22 (78), 1-8, 2021
5812021
Advances in Domain Adaptation Theory
I Redko, E Morvant, A Habrard, M Sebban, Y Bennani
Elsevier, 2019
256*2019
Theoretical analysis of domain adaptation with optimal transport
I Redko, A Habrard, M Sebban
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
1622017
Optimal transport for multi-source domain adaptation under target shift
I Redko, N Courty, R Flamary, D Tuia
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
1552019
CO-Optimal Transport
V Titouan, I Redko, R Flamary, N Courty
Advances in Neural Information Processing Systems 33, 2020
61*2020
Co-clustering through optimal transport
C Laclau, I Redko, B Matei, Y Bennani, V Brault
ICML'17, 2017
462017
All of the Fairness for Edge Prediction with Optimal Transport
C Laclau, I Redko, M Choudhary, C Largeron
International Conference on Artificial Intelligence and Statistics, 1774-1782, 2021
362021
Nonnegative matrix factorization for transfer learning
I Redko
Sorbonne Paris Cité, 2015
29*2015
Margin-aware Adversarial Domain Adaptation with Optimal Transport
S Dhouib, I Redko, C Lartizien
Thirty-seventh International Conference on Machine Learning, 2020
262020
Feature Selection for Unsupervised Domain Adaptation using Optimal Transport
L Gautheron, I Redko, C Lartizien
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
222018
A Swiss Army Knife for Minimax Optimal Transport
S Dhouib, I Redko, T Kerdoncuff, R Emonet, M Sebban
Thirty-seventh International Conference on Machine Learning, 2020
182020
Cross-lingual document retrieval using regularized wasserstein distance
G Balikas, C Laclau, I Redko, MR Amini
Advances in Information Retrieval: 40th European Conference on IR Research …, 2018
172018
On the analysis of adaptability in multi-source domain adaptation
I Redko, A Habrard, M Sebban
Machine Learning 108 (8-9), 1635-1652, 2019
162019
Non-negative embedding for fully unsupervised domain adaptation
I Redko, Y Bennani
Pattern Recognition Letters 77, 35-41, 2016
112016
Meta Optimal Transport
B Amos, S Cohen, G Luise, I Redko
arXiv preprint arXiv:2206.05262, 2022
102022
Improving few-shot learning through multi-task representation learning theory
Q Bouniot, I Redko, R Audigier, A Loesch, A Habrard
European Conference on Computer Vision, 435-452, 2022
9*2022
Revisiting -similarity learning for domain adaptation
S Dhouib, I Redko
Advances in Neural Information Processing Systems 31, 2018
82018
On Fair Cost Sharing Games in Machine Learning
I Redko, C Laclau
AAAI Conference on Artificial Intelligence, 2019
52019
Unbalanced CO-optimal Transport
QH Tran, H Janati, N Courty, R Flamary, I Redko, P Demetci, R Singh
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10006 …, 2023
32023
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
N Vesseron, I Redko, C Laclau
International Conference on Artificial Intelligence and Statistics, 1765-1773, 2021
32021
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20