conftrace_

wasserstein distance

522 papers

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Also known as

W WASSERSTEIN WD

Co-occurring keywords · papers mentioning both

optimal transport (162) generative adversarial network (58) distributionally robust optimization (37) generative model (30) domain adaptation (24) markov chain monte carlo (24) generalization bound (21) image generation (20) adversarial training (18) variational inference (17)

Papers

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams AAAI 2024 A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem NeurIPS 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024 Adaptivity of Diffusion Models to Manifold Structures AISTATS 2024 Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024 Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs ICLR 2024 Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem NeurIPS 2024 Characterization of translation invariant MMD on Rd and connections with Wasserstein distances JMLR 2024 Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024 Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024 Data Valuation and Detections in Federated Learning CVPR 2024 DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024 Diverse Projection Ensembles for Distributional Reinforcement Learning ICLR 2024 Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification AAAI 2024 Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport NeurIPS 2024 FairWASP: Fast and Optimal Fair Wasserstein Pre-processing AAAI 2024 Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024 Federated Wasserstein Distance ICLR 2024 FedImpro: Measuring and Improving Client Update in Federated Learning ICLR 2024 Functional Wasserstein Bridge Inference for Bayesian Deep Learning UAI 2024 Functional Wasserstein Variational Policy Optimization UAI 2024 Gaussian Interpolation Flows JMLR 2024 Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024