Co-occurring keywords · papers mentioning both
Papers
Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport
IJCAI 2025
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
AISTATS 2025
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation
ICML 2023
Reproducing Kernels and New Approaches in Compositional Data Analysis
JMLR 2023
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
NeurIPS 2022
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
ICML 2022
DeepCoDA: personalized interpretability for compositional health data
ICML 2020
Representation Learning of Compositional Data
NeurIPS 2018