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Learning Representations for Counterfactual Inference
v1v2v3 (latest)

Learning Representations for Counterfactual Inference

12 May 2016
Fredrik D. Johansson
Uri Shalit
David Sontag
    CMLOODBDL
ArXiv (abs)PDFHTML

Papers citing "Learning Representations for Counterfactual Inference"

50 / 403 papers shown
Title
Estimating Treatment Effects Under Heterogeneous Interference
Estimating Treatment Effects Under Heterogeneous Interference
Xiaofeng Lin
Guoxi Zhang
Xiaotian Lu
Han Bao
Koh Takeuchi
Hisashi Kashima
CML
62
5
0
25 Sep 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment
  Effects
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
Ahmed Alaa
Zaid Ahmad
Mark van der Laan
CML
197
16
0
28 Aug 2023
Does Misclassifying Non-confounding Covariates as Confounders Affect the
  Causal Inference within the Potential Outcomes Framework?
Does Misclassifying Non-confounding Covariates as Confounders Affect the Causal Inference within the Potential Outcomes Framework?
Yonghe Zhao
Q. Huang
Shuai Fu
Huashan Sun
CML
32
0
0
22 Aug 2023
Uplift Modeling: from Causal Inference to Personalization
Uplift Modeling: from Causal Inference to Personalization
Felipe Moraes
Hugo Manuel Proença
A. Kornilova
Javier Albert
Dmitri Goldenberg
CML
40
10
0
17 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation
Pareto Invariant Representation Learning for Multimedia Recommendation
Shanshan Huang
Haoxuan Li
Qingsong Li
Chunyuan Zheng
Li Liu
CML
94
12
0
09 Aug 2023
Generalization bound for estimating causal effects from observational
  network data
Generalization bound for estimating causal effects from observational network data
Ruichu Cai
Zeqin Yang
Weilin Chen
Yuguang Yan
Zijian Li
CML
84
6
0
08 Aug 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
75
7
0
27 Jul 2023
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative
  Prognostic Model with Imaging and Tabular Data
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
Wenao Ma
Cheng Chen
J. Abrigo
C. Mak
Yuqi Gong
Nga Yan Chan
Chu Han
Zaiyi Liu
Qi Dou
115
7
0
24 Jul 2023
De-confounding Representation Learning for Counterfactual Inference on
  Continuous Treatment via Generative Adversarial Network
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network
Yonghe Zhao
Q. Huang
Haolong Zeng
Yun-Wen Pen
Huashan Sun
CMLOODBDL
33
2
0
24 Jul 2023
Adversarial Conversational Shaping for Intelligent Agents
Adversarial Conversational Shaping for Intelligent Agents
Piotr Tarasiewicz
Sultan Kenjeyev
Ilana Sebag
Shehab Alshehabi
GAN
52
0
0
20 Jul 2023
Assisting Clinical Decisions for Scarcely Available Treatment via
  Disentangled Latent Representation
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Bing Xue
A. Said
Ziqi Xu
Hanyang Liu
N. Shah
Hanqing Yang
Philip R. O. Payne
Chenyang Lu
126
5
0
06 Jul 2023
Identification of Causal Relationship between Amyloid-beta Accumulation
  and Alzheimer's Disease Progression via Counterfactual Inference
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference
Haixing Dai
Mengxuan Hu
Qing Li
Lu Zhang
Lin Zhao
...
Manhua Liu
Quanzheng Li
Sheng Li
Tianming Liu
Xiang Li
CMLOOD
106
2
0
03 Jul 2023
Variational Counterfactual Prediction under Runtime Domain Corruption
Variational Counterfactual Prediction under Runtime Domain Corruption
Hechuan Wen
Tong Chen
L. K. Chai
S. Sadiq
Junbin Gao
Hongzhi Yin
OOD
97
2
0
23 Jun 2023
Treatment Effects in Extreme Regimes
Treatment Effects in Extreme Regimes
Ahmed Aloui
Ali Hasan
Yuting Ng
Miroslav Pajic
Vahid Tarokh
43
0
0
20 Jun 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical
  Systems
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Song Jiang
Zijie Huang
Xiao Luo
Yizhou Sun
CML
106
15
0
20 Jun 2023
Generalizable Resource Scaling of 5G Slices using Constrained
  Reinforcement Learning
Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning
Muhammad Sulaiman
Mahdieh Ahmadi
M. A. Salahuddin
R. Boutaba
A. Saleh
74
8
0
15 Jun 2023
Advancing Counterfactual Inference through Nonlinear Quantile Regression
Advancing Counterfactual Inference through Nonlinear Quantile Regression
Shaoan Xie
Erdun Gao
Bin Gu
Tongliang Liu
Kun Zhang
92
1
0
09 Jun 2023
Accounting For Informative Sampling When Learning to Forecast Treatment
  Outcomes Over Time
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
Toon Vanderschueren
Alicia Curth
Wouter Verbeke
M. Schaar
93
14
0
07 Jun 2023
Worst-risk minimization in generalized structural equation models
Worst-risk minimization in generalized structural equation models
Philip Kennerberg
Ernst C. Wit
38
0
0
06 Jun 2023
Contagion Effect Estimation Using Proximal Embeddings
Contagion Effect Estimation Using Proximal Embeddings
Zahra Fatemi
Elena Zheleva
51
1
0
04 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations
Reliable Off-Policy Learning for Dosage Combinations
Jonas Schweisthal
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
OffRL
57
12
0
31 May 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment
  Effects Estimation
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
V. Chauhan
Jiandong Zhou
Ghadeer O. Ghosheh
Soheila Molaei
David Clifton
79
11
0
25 May 2023
Meta-learning for heterogeneous treatment effect estimation with
  closed-form solvers
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers
Tomoharu Iwata
Yoichi Chikahara
CMLFedML
77
0
0
19 May 2023
Integrating Nearest Neighbors with Neural Network Models for Treatment
  Effect Estimation
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation
Niki Kiriakidou
Christos Diou
CML
45
4
0
11 May 2023
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
Diego Martinez-Taboada
Aaditya Ramdas
Edward H. Kennedy
OOD
67
8
0
26 Apr 2023
Causal Effect Estimation with Variational AutoEncoder and the Front Door
  Criterion
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion
Ziqi Xu
Debo Cheng
Jiuyong Li
Jixue Liu
Lin Liu
Kui Yu
CML
101
2
0
24 Apr 2023
Evidentiality-aware Retrieval for Overcoming Abstractiveness in
  Open-Domain Question Answering
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering
Yongho Song
Dahyun Lee
Myungha Jang
Seung-won Hwang
Kyungjae Lee
Dongha Lee
Jinyeong Yeo
RALM
66
1
0
06 Apr 2023
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep
  Adversarial Learning for Counterfactual Prediction and Treatment Effect
  Estimation on Real World Data
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data
Shantanu Ghosh
Zheng Feng
Jiang Bian
Kevin R. B. Butler
M. Prosperi
CMLOODBDL
21
0
0
07 Mar 2023
Estimating Treatment Effects from Irregular Time Series Observations
  with Hidden Confounders
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
Defu Cao
James Enouen
Yujing Wang
Xiangchen Song
Chuizheng Meng
Hao Niu
Yan Liu
CML
67
23
0
04 Mar 2023
Continual Causal Inference with Incremental Observational Data
Continual Causal Inference with Incremental Observational Data
Zhixuan Chu
Ruopeng Li
S. Rathbun
Sheng Li
CML
82
15
0
03 Mar 2023
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation
Damian Machlanski
Spyridon Samothrakis
Paul Clarke
ELMCML
80
9
0
02 Mar 2023
Learning high-dimensional causal effect
Learning high-dimensional causal effect
Aayush Agarwal
Saksham Bassi
CMLSyDa
49
0
0
01 Mar 2023
Multi-Action Dialog Policy Learning from Logged User Feedback
Multi-Action Dialog Policy Learning from Logged User Feedback
Shuo Zhang
Junzhou Zhao
Pinghui Wang
Tianxiang Wang
Zi Liang
Jing Tao
Y. Huang
Junlan Feng
OffRL
79
0
0
27 Feb 2023
Knowledge Graph Completion with Counterfactual Augmentation
Knowledge Graph Completion with Counterfactual Augmentation
Heng Chang
Jie Cai
Jia Li
73
26
0
25 Feb 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment
  Effect Estimation from Time-to-Event Data
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
Alicia Curth
M. Schaar
CML
55
4
0
23 Feb 2023
A Survey on Causal Reinforcement Learning
A Survey on Causal Reinforcement Learning
Yan Zeng
Ruichu Cai
Gang Hua
Libo Huang
Zijian Li
CML
135
30
0
10 Feb 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the
  Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
Alicia Curth
M. Schaar
CML
65
26
0
06 Feb 2023
Counterfactual Identifiability of Bijective Causal Models
Counterfactual Identifiability of Bijective Causal Models
Arash Nasr-Esfahany
MohammadIman Alizadeh
Devavrat Shah
CMLBDL
113
27
0
04 Feb 2023
Domain Adaptation via Rebalanced Sub-domain Alignment
Domain Adaptation via Rebalanced Sub-domain Alignment
Yi-Ling Liu
Juncheng Dong
Ziyang Jiang
Ahmed Aloui
Keyu Li
Hunter Klein
Vahid Tarokh
David Carlson
58
2
0
03 Feb 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities
Zhixuan Chu
Jia-Bin Huang
Ruopeng Li
Wei Chu
Sheng Li
CMLOOD
105
8
0
02 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Erdun Gao
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
136
11
0
29 Jan 2023
Zero-shot causal learning
Zero-shot causal learning
H. Nilforoshan
Michael Moor
Yusuf Roohani
Yining Chen
Anja vSurina
Michihiro Yasunaga
Sara Oblak
J. Leskovec
CMLBDLOffRL
85
14
0
28 Jan 2023
Estimating Causal Effects using a Multi-task Deep Ensemble
Estimating Causal Effects using a Multi-task Deep Ensemble
Ziyang Jiang
Zhuoran Hou
Yi-Ling Liu
Yiman Ren
Keyu Li
David Carlson
CML
76
6
0
26 Jan 2023
Proximal Causal Learning of Conditional Average Treatment Effects
Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup
Yifan Cui
CML
86
6
0
26 Jan 2023
Data-Driven Estimation of Heterogeneous Treatment Effects
Data-Driven Estimation of Heterogeneous Treatment Effects
Christopher Tran
Keith Burghardt
Kristina Lerman
Elena Zheleva
CML
56
1
0
16 Jan 2023
Unpacking the "Black Box" of AI in Education
Unpacking the "Black Box" of AI in Education
Nabeel Gillani
R. Eynon
Catherine Chiabaut
Kelsey Finkel
76
59
0
31 Dec 2022
Deep Causal Learning for Robotic Intelligence
Deep Causal Learning for Robotic Intelligence
Yongqian Li
CML
73
5
0
23 Dec 2022
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple
  Treatment Perspective
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
Pengfei Xi
Guifeng Wang
Zhipeng Hu
Yu Xiong
Ming‐Fu Gong
...
Runze Wu
Yu-qiong Ding
Tangjie Lv
Changjie Fan
Xiangnan Feng
CMLAI4TSAI4CE
49
0
0
17 Dec 2022
Instrumental Variables in Causal Inference and Machine Learning: A
  Survey
Instrumental Variables in Causal Inference and Machine Learning: A Survey
Anpeng Wu
Kun Kuang
Ruoxuan Xiong
Leilei Gan
SyDaCML
72
7
0
12 Dec 2022
Direct Heterogeneous Causal Learning for Resource Allocation Problems in
  Marketing
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
Hao Zhou
Shaoming Li
Guibin Jiang
Jiaqi Zheng
Dong Wang
57
19
0
28 Nov 2022
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