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Optimal Transport

369 papers

Papers per year

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Papers

A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021
Projection Robust Wasserstein Barycenters ICML 2021
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021
Outlier-Robust Optimal Transport ICML 2021
Low-Rank Sinkhorn Factorization ICML 2021
Testing Group Fairness via Optimal Transport Projections ICML 2021
Supervised Tree-Wasserstein Distance ICML 2021
Moreau-Yosida $f$-divergences ICML 2021
Diffusion Earth Mover’s Distance and Distribution Embeddings ICML 2021
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport IJCAI 2021
Optimal Transport for Deep Generative Models: State of the Art and Research Challenges IJCAI 2021
On efficient multilevel Clustering via Wasserstein distances JMLR 2021
Improving approximate optimal transport distances using quantization UAI 2021
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm NIPS 2020
Fair regression with Wasserstein barycenters NIPS 2020
Learning the Geometry of Wave-Based Imaging NIPS 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport NIPS 2020
Projection Robust Wasserstein Distance and Riemannian Optimization NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NIPS 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form NIPS 2020
The Wasserstein Proximal Gradient Algorithm NIPS 2020
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation NIPS 2020
Linear Time Sinkhorn Divergences using Positive Features NIPS 2020
Statistical Optimal Transport posed as Learning Kernel Embedding NIPS 2020
CO-Optimal Transport NIPS 2020