wasserstein distance

417 papers

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Also known as

TW W2 W2 OR WD SW W WASSERSTEIN W1 WD WGAN WGAN-GP

Co-occurring keywords

optimal transport (945) generative adversarial network (1939) distributionally robust optimization (183) generative model (2889) domain adaptation (4578) generalization bound (649) image generation (2069) markov chain monte carlo (724) neural network (6616) variational inference (2069)

Papers

Uncertainty-aware Knowledge Tracing AAAI 2025

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025

Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis IJCAI 2025

Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024

Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024

Multiple-output composite quantile regression through an optimal transport lens COLT 2024

Adaptivity of Diffusion Models to Manifold Structures AISTATS 2024

Score-based generative models are provably robust: an uncertainty quantification perspective NIPS 2024

DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024

Gaussian Interpolation Flows JMLR 2024

Understanding Entropic Regularization in GANs JMLR 2024

Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NIPS 2024

Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NIPS 2024

Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024

Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024

On Convergence in Wasserstein Distance and f-divergence Minimization Problems AISTATS 2024

Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024

Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024

Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024

Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams AAAI 2024

Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024

Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024

ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024