Beyond Distributional Fidelity: Causal-Penalized Diffusion for Synthetic Tabular Data
stat.ML, cs.LG
Submitted: 2026-10-08
Updated: 2026-10-08
Terminology
Sources
- Robust Variational Autoencoder for Tabular Data with Beta Divergence
- CausalWrap: Model-Agnostic Causal Constraint Wrappers for Tabular Synthetic Data
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
- Language Models are Realistic Tabular Data Generators
- Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking
- Synthetic Data -- what, why and how?
- ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learning
- Data Synthesis based on Generative Adversarial Networks
- A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond
- Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
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