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1605.03661
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Learning Representations for Counterfactual Inference
12 May 2016
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
Re-assign community
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Papers citing
"Learning Representations for Counterfactual Inference"
50 / 432 papers shown
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers
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Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion
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202
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24 Apr 2023
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering
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Dahyun Lee
Myungha Jang
Seung-won Hwang
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562
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06 Apr 2023
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data
American Medical Informatics Association Annual Symposium (AMIA), 2021
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Zheng Feng
Jiang Bian
Kevin R. B. Butler
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178
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07 Mar 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
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Defu Cao
James Enouen
Yujing Wang
Xiangchen Song
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Hao Niu
Yan Liu
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163
26
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04 Mar 2023
Continual Causal Inference with Incremental Observational Data
IEEE International Conference on Data Engineering (ICDE), 2023
Zhixuan Chu
Ruopeng Li
S. Rathbun
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168
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The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation
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Spyridon Samothrakis
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232
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83
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Multi-Action Dialog Policy Learning from Logged User Feedback
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Junzhou Zhao
Pinghui Wang
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Jing Tao
Y. Huang
Junlan Feng
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169
0
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27 Feb 2023
Knowledge Graph Completion with Counterfactual Augmentation
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Jie Cai
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173
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Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
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M. Schaar
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166
5
0
23 Feb 2023
A Survey on Causal Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yan Zeng
Ruichu Cai
Gang Hua
Libo Huang
Zijian Li
CML
430
52
0
10 Feb 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
International Conference on Machine Learning (ICML), 2023
Alicia Curth
M. Schaar
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269
34
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06 Feb 2023
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M. Saar-Tsechansky
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338
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Counterfactual Identifiability of Bijective Causal Models
International Conference on Machine Learning (ICML), 2023
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MohammadIman Alizadeh
Devavrat Shah
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451
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Juncheng Dong
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Vahid Tarokh
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222
4
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03 Feb 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities
Zhixuan Chu
Jia-Bin Huang
Ruopeng Li
Wei Chu
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CML
OOD
216
9
0
02 Feb 2023
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Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Erdun Gao
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
466
14
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29 Jan 2023
Zero-shot causal learning
Neural Information Processing Systems (NeurIPS), 2023
H. Nilforoshan
Michael Moor
Yusuf Roohani
Yining Chen
Anja vSurina
Michihiro Yasunaga
Sara Oblak
J. Leskovec
CML
BDL
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306
18
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28 Jan 2023
Estimating Causal Effects using a Multi-task Deep Ensemble
International Conference on Machine Learning (ICML), 2023
Ziyang Jiang
Zhuoran Hou
Yi-Ling Liu
Yiman Ren
Keyu Li
David Carlson
CML
272
7
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26 Jan 2023
Proximal Causal Learning of Conditional Average Treatment Effects
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Erik Sverdrup
Yifan Cui
CML
309
8
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26 Jan 2023
Data-Driven Estimation of Heterogeneous Treatment Effects
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Keith Burghardt
Kristina Lerman
Elena Zheleva
CML
179
2
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16 Jan 2023
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R. Eynon
Catherine Chiabaut
Kelsey Finkel
175
89
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31 Dec 2022
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Frontiers in Neurorobotics (Front. Neurorobot.), 2022
Yongqian Li
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243
8
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23 Dec 2022
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
Pengfei Xi
Guifeng Wang
Zhipeng Hu
Yu Xiong
Ming‐Fu Gong
...
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Yu-qiong Ding
Tangjie Lv
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Xiangnan Feng
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AI4TS
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129
0
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17 Dec 2022
Instrumental Variables in Causal Inference and Machine Learning: A Survey
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Anpeng Wu
Kun Kuang
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Leilei Gan
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228
13
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12 Dec 2022
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
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Hao Zhou
Shaoming Li
Guibin Jiang
Jiaqi Zheng
Dong Wang
180
29
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Sergey Levine
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275
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Counterfactual Learning with Multioutput Deep Kernels
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205
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Confounder Balancing for Instrumental Variable Regression with Latent Variable
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Kun Kuang
Ruoxuan Xiong
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272
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Xiaolong Zheng
Hu Tian
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331
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Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation
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Dino Sejdinovic
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132
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Inference and Denoise: Causal Inference-based Neural Speech Enhancement
International Workshop on Machine Learning for Signal Processing (MLSP), 2022
Tsun-An Hsieh
Chao-Han Huck Yang
Pin-Yu Chen
Sabato Marco Siniscalchi
Yu Tsao
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199
2
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Robust Direct Learning for Causal Data Fusion
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Xinyu Li
Yilin Li
Daixin Wang
Longfei Li
Jun Zhou
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193
1
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Learning Individual Treatment Effects under Heterogeneous Interference in Networks
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Yuqi Bai
Kun Kuang
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Leilei Gan
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205
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Adversarial De-confounding in Individualised Treatment Effects Estimation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
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Soheila Molaei
Marzia Hoque Tania
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T. Zhu
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261
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Deep Counterfactual Estimation with Categorical Background Variables
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307
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Transfer Learning for Individual Treatment Effect Estimation
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Ahmed Aloui
Juncheng Dong
Cat P. Le
Vahid Tarokh
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432
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Neural Causal Models for Counterfactual Identification and Estimation
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266
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Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies
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124
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562
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175
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192
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Lina Yao
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137
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Weilin Chen
Zeqin Yang
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Jiecheng Guo
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295
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