Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework

12 June 2024

Papers citing "Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework"

8 / 8 papers shown

Title
How Well Does Your Tabular Generator Learn the Structure of Tabular Data? Xiangjian Jiang Nikola Simidjievski M. Jamnik LMTD 80 0 0 13 Mar 2025
FiP: a Fixed-Point Approach for Causal Generative Modeling M. Scetbon Joel Jennings Agrin Hilmkil Cheng Zhang Chao Ma 40 2 0 10 Apr 2024
Structured Neural Networks for Density Estimation and Causal Inference Asic Q. Chen Ruian Shi Xiang Gao Ricardo Baptista Rahul G. Krishnan CML TPM 37 4 0 03 Nov 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark Lasse Hansen Nabeel Seedat M. Schaar Andrija Petrović 42 19 0 25 Oct 2023
STaSy: Score-based Tabular data Synthesis Jayoung Kim C. Lee Noseong Park DiffM 56 59 0 08 Oct 2022
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 50 186 0 17 Feb 2021
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E. Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 147 569 0 19 Mar 2017
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 221 626 0 20 Feb 2013