wasserstein space

Beyond propagation of chaos: A stochastic algorithm for mean field optimization COLT 2025 Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging AISTATS 2025 Universal Neural Optimal Transport ICML 2025 Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Mirror and Preconditioned Gradient Descent in Wasserstein Space NeurIPS 2024 Non-geodesically-convex optimization in the Wasserstein space NeurIPS 2024 Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games COLT 2024 Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024 A PDE approach for regret bounds under partial monitoring JMLR 2023 Pre-training for Speech Translation: CTC Meets Optimal Transport ICML 2023 Measure Estimation in the Barycentric Coding Model ICML 2022 Fast and Smooth Interpolation on Wasserstein Space AISTATS 2021 Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection AAAI 2021 Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport ICML 2021 Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm NeurIPS 2020 Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space AISTATS 2020 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020 Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019 Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit COLT 2019 Understanding MCMC Dynamics as Flows on the Wasserstein Space ICML 2019 Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018