{"total":24,"rows":[{"id":"2107.12364","title":"Plugin Estimation of Smooth Optimal Transport Maps","created":"2021-07-26","cited_by_count":68,"area":null},{"id":"2210.09160","title":"Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances","created":"2022-10-17","cited_by_count":41,"area":null},{"id":"2303.05798","title":"Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals","created":"2023-03-10","cited_by_count":19,"area":null},{"id":"2103.09267","title":"Martingale Methods for Sequential Estimation of Convex Functionals and Divergences","created":"2021-03-16","cited_by_count":18,"area":null},{"id":"2103.12711","title":"A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions","created":"2021-03-23","cited_by_count":17,"area":null},{"id":"2501.18901","title":"Lightspeed Geometric Dataset Distance via Sliced Optimal Transport","created":"2025-01-31","cited_by_count":10,"area":null},{"id":"2206.03230","title":"Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances","created":"2022-06-07","cited_by_count":7,"area":null},{"id":"2401.13112","title":"Distributional Counterfactual Explanations With Optimal Transport","created":"2024-01-23","cited_by_count":6,"area":null},{"id":"2404.15378","title":"Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions","created":"2024-04-23","cited_by_count":6,"area":null},{"id":"2511.18828","title":"Solving a Research Problem in Mathematical Statistics with AI Assistance","created":"2025-11-24","cited_by_count":6,"area":null},{"id":"2502.06525","title":"Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis","created":"2025-02-10","cited_by_count":3,"area":null},{"id":"2410.17230","title":"Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error","created":"2024-10-22","cited_by_count":2,"area":null},{"id":"2602.10691","title":"Convergence Rates for Distribution Matching with Sliced Optimal Transport","created":"2026-02-11","cited_by_count":2,"area":null},{"id":"2308.01853","title":"Minimax Statistical Estimation under Wasserstein Contamination","created":"2023-08-03","cited_by_count":1,"area":null},{"id":"2308.14335","title":"Improved learning theory for kernel distribution regression with two-stage sampling","created":"2023-08-28","cited_by_count":1,"area":null},{"id":"2405.13153","title":"Max-sliced Wasserstein concentration and uniform ratio bounds of empirical measures on RKHS","created":"2024-05-21","cited_by_count":1,"area":null},{"id":"2506.19025","title":"Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives","created":"2025-06-23","cited_by_count":1,"area":null},{"id":"2509.10166","title":"Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance","created":"2025-09-12","cited_by_count":1,"area":null},{"id":"2601.02640","title":"Bayesian Multiple Multivariate Density-Density Regression","created":"2026-01-06","cited_by_count":1,"area":null},{"id":"2605.08546","title":"Sliced Inner Product Gromov-Wasserstein Distances","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2504.06453","title":"Bounds in Wasserstein Distance for Locally Stationary Functional Time Series","created":"2025-04-08","cited_by_count":0,"area":null},{"id":"2505.06835","title":"Streaming Sliced Optimal Transport","created":"2025-05-11","cited_by_count":0,"area":null},{"id":"2605.09916","title":"The Observable Wasserstein Distance","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2607.23130","title":"Identification and Honest Recovery from Semantic Observation Kernels: Operator Error, Coarsening, and Stability","created":"2026-07-25","cited_by_count":0,"area":null}],"next_cursor":null}