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wasserstein distance

417 papers

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Also known as

W WASSERSTEIN WD

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