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Generating Synthetic Text Data to Evaluate Causal Inference Methods

Generating Synthetic Text Data to Evaluate Causal Inference Methods

10 February 2021
Zach Wood-Doughty
I. Shpitser
Mark Dredze
    SyDaCML
ArXiv (abs)PDFHTML

Papers citing "Generating Synthetic Text Data to Evaluate Causal Inference Methods"

9 / 9 papers shown
Title
Reliability of Topic Modeling
Reliability of Topic Modeling
Kayla Schroeder
Zach Wood-Doughty
62
0
0
30 Oct 2024
A Synthetic Dataset for Personal Attribute Inference
A Synthetic Dataset for Personal Attribute Inference
Hanna Yukhymenko
Robin Staab
Mark Vero
Martin Vechev
SyDa
96
12
0
11 Jun 2024
Causal Inference from Text: Unveiling Interactions between Variables
Causal Inference from Text: Unveiling Interactions between Variables
Yuxiang Zhou
Yulan He
CML
67
4
0
09 Nov 2023
RCT Rejection Sampling for Causal Estimation Evaluation
RCT Rejection Sampling for Causal Estimation Evaluation
Katherine A. Keith
Sergey Feldman
David Jurgens
Jonathan Bragg
Rohit Bhattacharya
CML
77
7
0
27 Jul 2023
Boosting Synthetic Data Generation with Effective Nonlinear Causal
  Discovery
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
Martina Cinquini
F. Giannotti
Riccardo Guidotti
75
13
0
18 Jan 2023
Conceptualizing Treatment Leakage in Text-based Causal Inference
Conceptualizing Treatment Leakage in Text-based Causal Inference
Adel Daoud
Connor Jerzak
Richard Johansson
CML
52
9
0
01 May 2022
SynthBio: A Case Study in Human-AI Collaborative Curation of Text
  Datasets
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets
Ann Yuan
Daphne Ippolito
Vitaly Nikolaev
Chris Callison-Burch
Andy Coenen
Sebastian Gehrmann
SyDa
188
23
0
11 Nov 2021
Causal Inference in Natural Language Processing: Estimation, Prediction,
  Interpretation and Beyond
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
Amir Feder
Katherine A. Keith
Emaad A. Manzoor
Reid Pryzant
Dhanya Sridhar
...
Roi Reichart
Margaret E. Roberts
Brandon M Stewart
Victor Veitch
Diyi Yang
CML
114
246
0
02 Sep 2021
Automated versus do-it-yourself methods for causal inference: Lessons
  learned from a data analysis competition
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent Dorie
J. Hill
Uri Shalit
M. Scott
D. Cervone
CML
261
288
0
09 Jul 2017
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