Co-occurring keywords · papers mentioning both
Papers
Global Fréchet Manifold Learning for Random Objects, With Application to Low-Dimensional Wasserstein Representations of Distributional Data
JMLR 2026
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
AISTATS 2024
Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
JMLR 2022