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Ievgen Redko
Ievgen Redko
Visiting researcher, Aalto University/Associate professor, University of Jean Monnet
Verified email at univ-st-etienne.fr - Homepage
Title
Cited by
Cited by
Year
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
1232021
Advances in Domain Adaptation Theory
I Redko, E Morvant, A Habrard, M Sebban, Y Bennani
Elsevier, 2019
102*2019
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
982019
Theoretical Analysis of Domain Adaptation with Optimal Transport
I Redko, A Habrard, M Sebban
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
932017
Co-clustering through optimal transport
C Laclau, I Redko, B Matei, Y Bennani, V Brault
ICML'17, 2017
312017
Nonnegative matrix factorization for transfer learning
I Redko
Sorbonne Paris Cité, 2015
20*2015
CO-Optimal Transport
V Titouan, I Redko, R Flamary, N Courty
Advances in Neural Information Processing Systems 33, 2020
18*2020
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
162018
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
142021
Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance
G Balikas, C Laclau, I Redko, MR Amini
European Conference on Information Retrieval, 398-410, 2018
142018
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
112020
Margin-aware Adversarial Domain Adaptation with Optimal Transport
S Dhouib, I Redko, C Lartizien
Thirty-seventh International Conference on Machine Learning, 2020
112020
On the analysis of adaptability in multi-source domain adaptation
I Redko, A Habrard, M Sebban
Machine Learning 108 (8), 1635-1652, 2019
112019
Non-negative embedding for fully unsupervised domain adaptation
I Redko, Y Bennani
Pattern Recognition Letters 77, 35-41, 2016
102016
Towards Better Understanding Meta-learning Methods through Multi-task Representation Learning Theory
Q Bouniot, I Redko, R Audigier, A Loesch, Y Zotkin, A Habrard
arXiv preprint arXiv:2010.01992, 2020
52020
On Fair Cost Sharing Games in Machine Learning
I Redko, C Laclau
AAAI Conference on Artificial Intelligence, 2019
32019
Revisiting -similarity learning for domain adaptation
S Dhouib, I Redko
Advances in Neural Information Processing Systems 31, 2018
32018
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
22021
Factored couplings in multi-marginal optimal transport via difference of convex programming
QH Tran, H Janati, I Redko, R Flamary, N Courty
arXiv preprint arXiv:2110.00629, 2021
2021
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy
C Laclau, F Iutzeler, I Redko
arXiv preprint arXiv:2009.00365, 2020
2020
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