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Papers
RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
AAAI 2026
Causal discovery in mixed additive noise models
AISTATS 2025
TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
ICLR 2025
Differentially Private Data Release for Mixed-type Data via Latent Factor Models
JMLR 2024
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
AISTATS 2024
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
ICML 2023
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data
AAAI 2022
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data
AISTATS 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
NeurIPS 2020
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data
ICML 2017