Ievgen Redko

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Matrix Factorization

Transfer Learning

Random Subspaces

Sample Selection Bias

Top Venues

Publications

Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances. AISTATS (2024)
Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias. AISTATS (2024)
Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift. CoRR (2024)
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. CoRR (2024)
Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. CoRR (2024)
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Unbalanced CO-optimal Transport. AAAI (2023)
Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias. CoRR (2023)
Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko
Meta Optimal Transport. ICML (2023)
Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation. CoRR (2023)
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski
Understanding deep neural networks through the lens of their non-linearity. CoRR (2023)
Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation. Trans. Mach. Learn. Res. 2023 (2023)
Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh
Revisiting invariances and introducing priors in Gromov-Wasserstein distances. CoRR (2023)
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Unbalanced CO-Optimal Transport. CoRR (2022)
Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
Improving Few-Shot Learning Through Multi-task Representation Learning Theory. ECCV (20) (2022)
Brandon Amos, Samuel Cohen, Giulia Luise, Ievgen Redko
Meta Optimal Transport. CoRR (2022)
Rehan Jhuboo, Ievgen Redko, Alain Guignandon, Françoise Peyrin, Marc Sebban
Why do State-of-the-art Super-Resolution Methods not work well for Bone Microstructure CT Imaging? EUSIPCO (2022)
Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer
POT: Python Optimal Transport. J. Mach. Learn. Res. 22 (2021)
Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty
Factored couplings in multi-marginal optimal transport via difference of convex programming. CoRR (2021)
Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron
All of the Fairness for Edge Prediction with Optimal Transport. AISTATS (2021)
Nina Vesseron, Ievgen Redko, Charlotte Laclau
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond. AISTATS (2021)
Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
A Swiss Army Knife for Minimax Optimal Transport. ICML (2020)
Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani
A survey on domain adaptation theory. CoRR (2020)
Sofien Dhouib, Ievgen Redko, Carole Lartizien
Margin-aware Adversarial Domain Adaptation with Optimal Transport. ICML (2020)
Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron
All of the Fairness for Edge Prediction with Optimal Transport. CoRR (2020)
Nina Vesseron, Ievgen Redko, Charlotte Laclau
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond. CoRR (2020)
Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty
CO-Optimal Transport. NeurIPS (2020)
Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty
CO-Optimal Transport. CoRR (2020)
Charlotte Laclau, Franck Iutzeler, Ievgen Redko
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy. CoRR (2020)
Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms. CoRR (2020)
Ievgen Redko, Amaury Habrard, Marc Sebban
On the analysis of adaptability in multi-source domain adaptation. Mach. Learn. 108 (8-9) (2019)
Ievgen Redko, Charlotte Laclau
On Fair Cost Sharing Games in Machine Learning. AAAI (2019)
Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia
Optimal Transport for Multi-source Domain Adaptation under Target Shift. AISTATS (2019)
Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini
Cross-lingual Document Retrieval using Regularized Wasserstein Distance. CoRR (2018)
Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini
Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance. ECIR (2018)
Léo Gautheron, Ievgen Redko, Carole Lartizien
Feature Selection for Unsupervised Domain Adaptation Using Optimal Transport. ECML/PKDD (2) (2018)
Qi Wang, Ievgen Redko, Sylvain Takerkart
Distance-based Optimal Transport. PRNI (2018)
Sofiane Dhouib, Ievgen Redko
Revisiting (\epsilon, \gamma, \tau)-similarity learning for domain adaptation. NeurIPS (2018)
Léo Gautheron, Ievgen Redko, Carole Lartizien
Feature Selection for Unsupervised Domain Adaptation using Optimal Transport. CoRR (2018)
Charlotte Laclau, Ievgen Redko, Basarab Matei, Younès Bennani, Vincent Brault
Co-clustering through Optimal Transport. ICML (2017)
Ievgen Redko, Amaury Habrard, Marc Sebban
Theoretical Analysis of Domain Adaptation with Optimal Transport. ECML/PKDD (2) (2017)
Ievgen Redko, Amaury Habrard, Marc Sebban
Theoretical Analysis of Domain Adaptation with Optimal Transport. CoRR (2016)
Ievgen Redko, Younès Bennani
Non-negative embedding for fully unsupervised domain adaptation. Pattern Recognit. Lett. 77 (2016)
Ievgen Redko, Younès Bennani
Kernel alignment for unsupervised transfer learning. ICPR (2016)
Ievgen Redko, Younès Bennani
Kernel Alignment for Unsupervised Transfer Learning. CoRR (2016)
Ievgen Redko, Younès Bennani
Sparsity analysis of learned factors in Multilayer NMF. IJCNN (2015)
Ievgen Redko, Younès Bennani
Random subspaces NMF for unsupervised transfer learning. IJCNN (2014)
Ievgen Redko, Younès Bennani
Controlling orthogonality constraints for better NMF clustering. IJCNN (2014)
Ievgen Redko, Younès Bennani
Non-negative Matrix Factorization with Schatten p-norms Reguralization. ICONIP (2) (2014)