Co-occurring keywords · papers mentioning both
Papers
Accelerating Constrained Sampling: A Large Deviations Approach
JMLR 2026
Algorithmically Effective Differentially Private Synthetic Data
COLT 2023
Distributional Convergence of the Sliced Wasserstein Process
NeurIPS 2022
Convergence Rate of Optimal Quantization and Application to the Clustering Performance of the Empirical Measure
JMLR 2020
Fantastic Generalization Measures and Where to Find Them
ICLR 2020
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
NeurIPS 2020
Estimation of smooth densities in Wasserstein distance
COLT 2019
Stein Points
ICML 2018