entropic regularization

Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation JMLR 2026 A Truncated Newton Method for Optimal Transport ICLR 2025 Expected Sliced Transport Plans ICLR 2025 Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction ICLR 2025 SAVA: Scalable Learning-Agnostic Data Valuation ICLR 2025 Universal generalization guarantees for Wasserstein distributionally robust models ICLR 2025 Accelerating Sinkhorn algorithm with sparse Newton iterations ICLR 2024 An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024 Double-Bounded Optimal Transport for Advanced Clustering and Classification AAAI 2024 Entropic Gromov-Wasserstein Distances: Stability and Algorithms JMLR 2024 Light Unbalanced Optimal Transport NeurIPS 2024 Optimal Transport with Tempered Exponential Measures AAAI 2024 Progressive Entropic Optimal Transport Solvers NeurIPS 2024 Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport NeurIPS 2024 Sparsistency for inverse optimal transport ICLR 2024 Understanding Entropic Regularization in GANs JMLR 2024 An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023 Computational Guarantees for Doubly Entropic Wasserstein Barycenters NeurIPS 2023 Importance Sparsification for Sinkhorn Algorithm JMLR 2023 Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023 Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approach. COLT 2023 Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification NeurIPS 2023 Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023 Unbalanced Low-rank Optimal Transport Solvers NeurIPS 2023 A fast and accurate splitting method for optimal transport: analysis and implementation ICLR 2022