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← Optimization
Mathematics & Optimization
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Optimization
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Optimal Transport
367 directly classified papers
Papers per year
2005: 1
2012: 1
2013: 4
2014: 2
2015: 2
2016: 5
2017: 8
2018: 16
2019: 35
2020: 32
2021: 41
2022: 62
2023: 57
2024: 66
2025: 33
2026: 2
Papers
Auditing and Enforcing Conditional Fairness via Optimal Transport
AAAI 2025
When Schrodinger Bridge Meets Real-World Image Dehazing with Unpaired Training
ICCV 2025
The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation
ICCV 2025
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport
ACL 2025
Stochastic Interpolants for Revealing Stylistic Flows across the History of Art
ICCV 2025
Diffusion-aware Censored Gaussian Processes for Demand Modelling
IJCAI 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
EMNLP 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
JMLR 2025
Robust Point Matching with Distance Profiles
JMLR 2025
FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems
CVPR 2025
Distributional Reinforcement Learning with Regularized Wasserstein Loss
NIPS 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
AAAI 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
JMLR 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
AISTATS 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
AAAI 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
AISTATS 2024
Solving Inverse Problems via Diffusion Optimal Control
NIPS 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
NIPS 2024
Consistent Optimal Transport with Empirical Conditional Measures
AISTATS 2024
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm
AISTATS 2024
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport
JMLR 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
NIPS 2024
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
NIPS 2024
Interaction-Force Transport Gradient Flows
NIPS 2024
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