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sinkhorn divergence

19 papers

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Also known as

SD

Co-occurring keywords

optimal transport (948) entropic regularization (53) probability distribution (265) probability measure (59) maximum mean discrepancy (164) wasserstein distance (417) neural network (6616) generative adversarial network (1944) generative model (2892) density estimation (398)

Papers

Distributional Reinforcement Learning with Regularized Wasserstein Loss NIPS 2024
Understanding Entropic Regularization in GANs JMLR 2024
Estimating Regression Predictive Distributions with Sample Networks AAAI 2023
An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023
The Monge Gap: A Regularizer to Learn All Transport Maps ICML 2023
Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation AAAI 2022
Direct Measure Matching for Crowd Counting IJCAI 2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence NIPS 2021
Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021
Sinkhorn Barycenter via Functional Gradient Descent NIPS 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence NIPS 2020
Synchronizing Probability Measures on Rotations via Optimal Transport CVPR 2020
Linear Time Sinkhorn Divergences using Positive Features NIPS 2020
Sinkhorn Natural Gradient for Generative Models NIPS 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning NIPS 2020
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences AISTATS 2019
Sample Complexity of Sinkhorn Divergences AISTATS 2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm NIPS 2019
Learning Generative Models with Sinkhorn Divergences AISTATS 2018