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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
Optimal Transport with Cyclic Symmetry
AAAI 2024
Gradual Domain Adaptation: Theory and Algorithms
JMLR 2024
Generalized Variational Inference via Optimal Transport
AAAI 2024
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
CVPR 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
JMLR 2024
Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport
AAAI 2024
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
CVPR 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data
JMLR 2024
A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem
AAAI 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
AISTATS 2024
Fairness in Social Influence Maximization via Optimal Transport
NIPS 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
JMLR 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
AISTATS 2024
An Optimal Transport View for Subspace Clustering and Spectral Clustering
AAAI 2024
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)
AAAI 2024
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm
AISTATS 2024
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances
AISTATS 2024
Fast 1-Wasserstein distance approximations using greedy strategies
AISTATS 2024
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport
AISTATS 2024
Wasserstein Proximal Coordinate Gradient Algorithms
JMLR 2024
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning
IJCAI 2024
Analysis of Kernel Mirror Prox for Measure Optimization
AISTATS 2024
Optimal Transport for Measures with Noisy Tree Metric
AISTATS 2024
Consistent Optimal Transport with Empirical Conditional Measures
AISTATS 2024
Semidefinite Relaxations of the Gromov-Wasserstein Distance
NIPS 2024
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