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Methodology
← 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
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
NIPS 2022
(f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics
JMLR 2022
On the Complexity of Approximating Multimarginal Optimal Transport
JMLR 2022
On the Efficiency of Entropic Regularized Algorithms for Optimal Transport
JMLR 2022
Multimodal Learning Using Optimal Transport for Sarcasm and Humor Detection
WACV 2022
KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks
COLING 2022
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models
NAACL 2022
Unified Optimal Transport Framework for Universal Domain Adaptation
NIPS 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
NIPS 2022
Optimal Efficiency-Envy Trade-Off via Optimal Transport
NIPS 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
NIPS 2022
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation
NIPS 2022
Aligning individual brains with fused unbalanced Gromov Wasserstein
NIPS 2022
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
ICML 2022
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
ICML 2022
Entropic Gromov-Wasserstein between Gaussian Distributions
ICML 2022
Distribution Regression with Sliced Wasserstein Kernels
ICML 2022
On Transportation of Mini-batches: A Hierarchical Approach
ICML 2022
Improving Mini-batch Optimal Transport via Partial Transportation
ICML 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
ICML 2022
Re-evaluating Word Mover’s Distance
ICML 2022
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
ICML 2022
Accurate Quantization of Measures via Interacting Particle-based Optimization
ICML 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
NIPS 2022
Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution
IJCAI 2022
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