Ievgen Redko
19 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10)
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(8)
🏆
Grand Slam
👥
Mega-Team
(22)
🔥
Unstoppable
(9)
💎
Century Club
(19)
🚀
Conference Pioneer
🗃️
Keyword Collector
(60)
Conferences
AISTATS (5)
ICML (5)
NIPS (3)
AAAI (2)
CVPR (1)
ECCV (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
optimal transport
(11)
domain adaptation
(5)
gromov-wasserstein distance
(3)
feature alignment
(3)
wasserstein distance
(2)
target domain
(2)
distribution matching
(2)
game theory
(2)
variational inference
(1)
hyperparameter optimization
(1)
algorithmic fairness
(1)
similarity learning
(1)
loss landscape
(1)
minimax optimization
(1)
time series forecasting
(1)
robust optimization
(1)
probability distribution
(1)
nash equilibrium
(1)
feature correspondence
(1)
transfer learning
(1)
Papers
Zero-shot Model-based Reinforcement Learning using Large Language Models
ICLR 2025
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
CVPR 2025
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
AISTATS 2024
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
ICML 2024
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
NIPS 2024
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances
AISTATS 2024
Meta Optimal Transport
ICML 2023
Unbalanced CO-optimal Transport
AAAI 2023
Improving Few-Shot Learning through Multi-task Representation Learning Theory
ECCV 2022
POT: Python Optimal Transport
JMLR 2021
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
AISTATS 2021
All of the Fairness for Edge Prediction with Optimal Transport
AISTATS 2021
Margin-aware Adversarial Domain Adaptation with Optimal Transport
ICML 2020
A Swiss Army Knife for Minimax Optimal Transport
ICML 2020
CO-Optimal Transport
NIPS 2020
Optimal Transport for Multi-source Domain Adaptation under Target Shift
AISTATS 2019
On Fair Cost Sharing Games in Machine Learning
AAAI 2019
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
NIPS 2018
Co-clustering through Optimal Transport
ICML 2017