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Adjusting for Confounders with Text: Challenges and an Empirical
  Evaluation Framework for Causal Inference

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference

21 September 2020
Galen Cassebeer Weld
Peter West
M. Glenski
David Arbour
Ryan Rossi
Tim Althoff
    CML
ArXivPDFHTML

Papers citing "Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference"

21 / 21 papers shown
Title
Estimating Causal Effects of Text Interventions Leveraging LLMs
Estimating Causal Effects of Text Interventions Leveraging LLMs
Siyi Guo
Myrl G. Marmarelis
Fred Morstatter
Kristina Lerman
CML
400
0
0
28 Oct 2024
Quantifying the Causal Effects of Conversational Tendencies
Quantifying the Causal Effects of Conversational Tendencies
Justine Zhang
Sendhil Mullainathan
Cristian Danescu-Niculescu-Mizil
CML
30
26
0
08 Sep 2020
Causal Knowledge Extraction from Scholarly Papers in Social Sciences
Causal Knowledge Extraction from Scholarly Papers in Social Sciences
V. Z. Chen
Felipe Montano-Campos
Wlodek Zadrozny
CML
28
3
0
16 Jun 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding
  from Causal Estimates
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
Katherine A. Keith
David D. Jensen
Brendan O'Connor
CML
37
114
0
01 May 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan
Ana Marasović
Swabha Swayamdipta
Kyle Lo
Iz Beltagy
Doug Downey
Noah A. Smith
VLM
AI4CE
CLL
139
2,423
0
23 Apr 2020
The Case for Evaluating Causal Models Using Interventional Measures and
  Empirical Data
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
A. Gentzel
Dan Garant
David D. Jensen
CML
ELM
44
46
0
11 Oct 2019
Adapting Text Embeddings for Causal Inference
Adapting Text Embeddings for Causal Inference
Victor Veitch
Dhanya Sridhar
David M. Blei
CML
38
21
0
29 May 2019
HIBERT: Document Level Pre-training of Hierarchical Bidirectional
  Transformers for Document Summarization
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
Xingxing Zhang
Furu Wei
M. Zhou
75
379
0
16 May 2019
When do Words Matter? Understanding the Impact of Lexical Choice on
  Audience Perception using Individual Treatment Effect Estimation
When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation
Zhao Wang
A. Culotta
CML
39
15
0
12 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,729
0
11 Oct 2018
Challenges of Using Text Classifiers for Causal Inference
Challenges of Using Text Classifiers for Causal Inference
Zach Wood-Doughty
I. Shpitser
Mark Dredze
CML
36
73
0
01 Oct 2018
Conversations Gone Awry: Detecting Early Signs of Conversational Failure
Conversations Gone Awry: Detecting Early Signs of Conversational Failure
Justine Zhang
Cristian Danescu-Niculescu-Mizil
Cristian Danescu-Niculescu-Mizil
Lucas Dixon
Yiqing Hua
Nithum Thain
Dario Taraborelli
62
189
0
14 May 2018
How to Make Causal Inferences Using Texts
How to Make Causal Inferences Using Texts
Naoki Egami
Christian Fong
Justin Grimmer
Margaret E. Roberts
Brandon M Stewart
CML
64
140
0
06 Feb 2018
Matching with Text Data: An Experimental Evaluation of Methods for
  Matching Documents and of Measuring Match Quality
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
Reagan Mozer
Luke W. Miratrix
A. Kaufman
L. Jason Anastasopoulos
CML
51
61
0
02 Jan 2018
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
166
286
0
09 Jul 2017
Bias and high-dimensional adjustment in observational studies of peer
  effects
Bias and high-dimensional adjustment in observational studies of peer effects
Dean Eckles
E. Bakshy
40
61
0
14 Jun 2017
A Deep Causal Inference Approach to Measuring the Effects of Forming
  Group Loans in Online Non-profit Microfinance Platform
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform
T. T. Pham
Yuanyuan Shen
3DV
32
19
0
08 Jun 2017
Bag of Tricks for Efficient Text Classification
Bag of Tricks for Efficient Text Classification
Armand Joulin
Edouard Grave
Piotr Bojanowski
Tomas Mikolov
VLM
168
4,618
0
06 Jul 2016
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
280
729
0
12 May 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
The effect of wording on message propagation: Topic- and
  author-controlled natural experiments on Twitter
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter
Chenhao Tan
Lillian Lee
B. Pang
77
200
0
06 May 2014
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