Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1605.03661
Cited By
v1
v2
v3 (latest)
Learning Representations for Counterfactual Inference
12 May 2016
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Representations for Counterfactual Inference"
50 / 432 papers shown
Unveiling the Potential of Robustness in Evaluating Causal Inference Models
Yiyan Huang
Cheuk Hang Leung
Siyi Wang
Yijun Li
Qi Wu
OOD
CML
184
1
0
28 Feb 2024
Federated Learning for Estimating Heterogeneous Treatment Effects
Disha Makhija
Joydeep Ghosh
Yejin Kim
CML
FedML
368
3
0
27 Feb 2024
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data
Ghadeer O. Ghosheh
Moritz Gögl
Tingting Zhu
201
0
0
07 Feb 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid
Milan Kuzmanovic
Dennis Frauen
Tobias Hatt
Stefan Feuerriegel
326
12
0
30 Jan 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
AAAI Conference on Artificial Intelligence (AAAI), 2024
Lokesh Nagalapatti
Akshay Iyer
Abir De
Sunita Sarawagi
CML
225
11
0
27 Jan 2024
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
Yi Guo
Hao Liu
Yisong Yue
Anqi Liu
OffRL
272
3
0
21 Jan 2024
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
SDM (SDM), 2024
Ziqiang Cui
Xing Tang
Yang Qiao
Bowei He
Liang Chen
Xiuqiang He
Chen Ma
CML
233
0
0
12 Jan 2024
Neural Causal Abstractions
K. Xia
Elias Bareinboim
CML
NAI
314
13
0
05 Jan 2024
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Hengrui Cai
Shengjie Liu
Rui Song
LRM
ELM
464
20
0
30 Dec 2023
Causal Forecasting for Pricing
Douglas Schultz
Johannes Stephan
Julian Sieber
Trudie Yeh
Manuel Kunz
Patrick Doupe
Tim Januschowski
281
3
0
23 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
515
10
0
19 Dec 2023
Estimation of individual causal effects in network setup for multiple treatments
Abhinav Thorat
Ravi Kolla
N. Pedanekar
N. Onoe
CML
98
3
0
18 Dec 2023
Adversarially Balanced Representation for Continuous Treatment Effect Estimation
Amirreza Kazemi
Martin Ester
CML
OOD
215
5
0
17 Dec 2023
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
AAAI Conference on Artificial Intelligence (AAAI), 2023
Shunsuke Horii
Yoichi Chikahara
182
6
0
16 Dec 2023
Adversarial Distribution Balancing for Counterfactual Reasoning
Stefan Schrod
Fabian H. Sinz
Michael Altenbuchinger
OOD
CML
227
1
0
28 Nov 2023
A Neural Framework for Generalized Causal Sensitivity Analysis
International Conference on Learning Representations (ICLR), 2023
Dennis Frauen
F. Imrie
Alicia Curth
Valentyn Melnychuk
Stefan Feuerriegel
M. Schaar
CML
304
11
0
27 Nov 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
CML
327
19
0
19 Nov 2023
Causal Inference from Text: Unveiling Interactions between Variables
Yuxiang Zhou
Yulan He
CML
237
7
0
09 Nov 2023
CATE Estimation With Potential Outcome Imputation From Local Regression
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Ahmed Aloui
Juncheng Dong
Cat P. Le
Vahid Tarokh
CML
205
2
0
07 Nov 2023
Estimating treatment effects from single-arm trials via latent-variable modeling
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Manuel Haussmann
Tran Minh Son Le
Viivi Halla-aho
Samu Kurki
Jussi Leinonen
Miika Koskinen
Samuel Kaski
Harri Lähdesmäki
CML
298
0
0
06 Nov 2023
Identifiable Contrastive Learning with Automatic Feature Importance Discovery
Neural Information Processing Systems (NeurIPS), 2023
Tao Gui
Yifei Wang
Yisen Wang
263
18
0
29 Oct 2023
Optimal Transport for Treatment Effect Estimation
Neural Information Processing Systems (NeurIPS), 2023
Hao Wang
Zhichao Chen
Jiajun Fan
Haoxuan Li
Tianqiao Liu
Weiming Liu
Quanyu Dai
Yichao Wang
Zhenhua Dong
Ruiming Tang
OT
CML
214
52
0
27 Oct 2023
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
International Conference on Learning Representations (ICLR), 2023
Konstantin Hess
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
231
22
0
26 Oct 2023
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
Masahiro Kato
Masaaki Imaizumi
CML
285
2
0
25 Oct 2023
Counterfactual Prediction Under Selective Confounding
European Conference on Artificial Intelligence (ECAI), 2023
Sohaib Kiani
Jared Barton
Jon Sushinsky
Lynda Heimbach
Bo Luo
CML
248
2
0
21 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
OOD
477
2
0
16 Oct 2023
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
International Conference on Learning Representations (ICLR), 2023
Ziqi Xu
Debo Cheng
Jiuyong Li
Jixue Liu
Lin Liu
Kui Yu
CML
181
20
0
03 Oct 2023
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
Jiaqi Zhang
Joel Jennings
Agrin Hilmkil
Nick Pawlowski
Cheng Zhang
Chao Ma
CML
352
16
0
01 Oct 2023
Estimating Treatment Effects Under Heterogeneous Interference
Xiaofeng Lin
Guoxi Zhang
Xiaotian Lu
Han Bao
Koh Takeuchi
Hisashi Kashima
CML
187
6
0
25 Sep 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
Neural Information Processing Systems (NeurIPS), 2023
Ahmed Alaa
Zaid Ahmad
Mark van der Laan
CML
342
19
0
28 Aug 2023
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
91
1
0
22 Aug 2023
Uplift Modeling: from Causal Inference to Personalization
International Conference on Information and Knowledge Management (CIKM), 2023
Felipe Moraes
Hugo Manuel Proença
A. Kornilova
Javier Albert
Dmitri Goldenberg
CML
153
16
0
17 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation
ACM Multimedia (ACM MM), 2023
Shanshan Huang
Haoxuan Li
Qingsong Li
Chunyuan Zheng
Li Liu
CML
324
18
0
09 Aug 2023
Generalization bound for estimating causal effects from observational network data
International Conference on Information and Knowledge Management (CIKM), 2023
Ruichu Cai
Zeqin Yang
Weilin Chen
Yuguang Yan
Zijian Li
CML
160
8
0
08 Aug 2023
RCT Rejection Sampling for Causal Estimation Evaluation
Katherine A. Keith
Sergey Feldman
David Jurgens
Jonathan Bragg
Rohit Bhattacharya
CML
349
10
0
27 Jul 2023
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Wenao Ma
Cheng Chen
J. Abrigo
C. Mak
Yuqi Gong
Nga Yan Chan
Chu Han
Zaiyi Liu
Qi Dou
202
8
0
24 Jul 2023
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network
Data mining and knowledge discovery (DMKD), 2023
Yonghe Zhao
Q. Huang
Haolong Zeng
Yun-Wen Pen
Huashan Sun
CML
OOD
BDL
90
3
0
24 Jul 2023
Adversarial Conversational Shaping for Intelligent Agents
Piotr Tarasiewicz
Sultan Kenjeyev
Ilana Sebag
Shehab Alshehabi
GAN
177
0
0
20 Jul 2023
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Knowledge Discovery and Data Mining (KDD), 2023
Bing Xue
A. Said
Ziqi Xu
Hanyang Liu
N. Shah
Hanqing Yang
Philip R. O. Payne
Chenyang Lu
195
6
0
06 Jul 2023
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
Shijie Zhao
Sheng Li
Tianming Liu
Xiang Li
CML
OOD
248
2
0
03 Jul 2023
Variational Counterfactual Prediction under Runtime Domain Corruption
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Hechuan Wen
Tong Chen
L. K. Chai
S. Sadiq
Junbin Gao
Hongzhi Yin
OOD
234
2
0
23 Jun 2023
Treatment Effects in Extreme Regimes
Ahmed Aloui
Ali Hasan
Yuting Ng
Miroslav Pajic
Vahid Tarokh
182
0
0
20 Jun 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Knowledge Discovery and Data Mining (KDD), 2023
Song Jiang
Zijie Huang
Xiao Luo
Luke Huan
CML
241
23
0
20 Jun 2023
Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning
IEEE/IFIP Network Operations and Management Symposium (NOMS), 2023
Muhammad Sulaiman
Mahdieh Ahmadi
M. A. Salahuddin
R. Boutaba
A. Saleh
156
10
0
15 Jun 2023
Advancing Counterfactual Inference through Nonlinear Quantile Regression
Shaoan Xie
Erdun Gao
Bin Gu
Tongliang Liu
Kun Zhang
284
1
0
09 Jun 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
International Conference on Machine Learning (ICML), 2023
Toon Vanderschueren
Alicia Curth
Wouter Verbeke
M. Schaar
288
16
0
07 Jun 2023
Worst-risk minimization in generalized structural equation models
Information and Inference A Journal of the IMA (JIII), 2023
Philip Kennerberg
Ernst C. Wit
243
0
0
06 Jun 2023
Contagion Effect Estimation Using Proximal Embeddings
CLEaR (CLEaR), 2023
Zahra Fatemi
Elena Zheleva
235
2
0
04 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations
Neural Information Processing Systems (NeurIPS), 2023
Jonas Schweisthal
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
OffRL
252
13
0
31 May 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
V. Chauhan
Jiandong Zhou
Ghadeer O. Ghosheh
Soheila Molaei
David Clifton
345
13
0
25 May 2023
Previous
1
2
3
4
5
6
7
8
9
Next
