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Learning Representations for Counterfactual Inference

12 May 2016

Papers citing "Learning Representations for Counterfactual Inference"

50 / 414 papers shown

Title
Causal Inference from Text: Unveiling Interactions between Variables Yuxiang Zhou Yulan He CML 110 5 0 09 Nov 2023
CATE Estimation With Potential Outcome Imputation From Local Regression Ahmed Aloui Juncheng Dong Cat P. Le Vahid Tarokh CML 76 2 0 07 Nov 2023
Estimating treatment effects from single-arm trials via latent-variable modeling Manuel Haussmann Tran Minh Son Le Viivi Halla-aho Samu Kurki Jussi Leinonen Miika Koskinen Samuel Kaski Harri Lähdesmäki CML 139 0 0 06 Nov 2023
Identifiable Contrastive Learning with Automatic Feature Importance Discovery Tao Gui Yifei Wang Yisen Wang 123 15 0 29 Oct 2023
Optimal Transport for Treatment Effect Estimation Hao Wang Zhichao Chen Jiajun Fan Haoxuan Li Tianqiao Liu Weiming Liu Quanyu Dai Yichao Wang Zhenhua Dong Ruiming Tang OT CML 107 42 0 27 Oct 2023
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation Konstantin Hess Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 102 18 0 26 Oct 2023
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression Masahiro Kato Masaaki Imaizumi CML 116 2 0 25 Oct 2023
Counterfactual Prediction Under Selective Confounding Sohaib Kiani Jared Barton Jon Sushinsky Lynda Heimbach Bo Luo CML 143 1 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 274 2 0 16 Oct 2023
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder Ziqi Xu Debo Cheng Jiuyong Li Jixue Liu Lin Liu Kui Yu CML 82 12 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 189 14 0 01 Oct 2023
Estimating Treatment Effects Under Heterogeneous Interference Xiaofeng Lin Guoxi Zhang Xiaotian Lu Han Bao Koh Takeuchi Hisashi Kashima CML 82 5 0 25 Sep 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects Ahmed Alaa Zaid Ahmad Mark van der Laan CML 227 18 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 56 0 0 22 Aug 2023
Uplift Modeling: from Causal Inference to Personalization Felipe Moraes Hugo Manuel Proença A. Kornilova Javier Albert Dmitri Goldenberg CML 73 11 0 17 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 122 16 0 09 Aug 2023
Generalization bound for estimating causal effects from observational network data Ruichu Cai Zeqin Yang Weilin Chen Yuguang Yan Zijian Li CML 121 6 0 08 Aug 2023
RCT Rejection Sampling for Causal Estimation Evaluation Katherine A. Keith Sergey Feldman David Jurgens Jonathan Bragg Rohit Bhattacharya CML 162 9 0 27 Jul 2023
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 143 8 0 24 Jul 2023
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 CML OOD BDL 56 2 0 24 Jul 2023
Adversarial Conversational Shaping for Intelligent Agents Piotr Tarasiewicz Sultan Kenjeyev Ilana Sebag Shehab Alshehabi GAN 78 0 0 20 Jul 2023
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 153 5 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 Quanzheng Li Sheng Li Tianming Liu Xiang Li CML OOD 119 2 0 03 Jul 2023
Variational Counterfactual Prediction under Runtime Domain Corruption Hechuan Wen Tong Chen L. K. Chai S. Sadiq Junbin Gao Hongzhi Yin OOD 114 2 0 23 Jun 2023
Treatment Effects in Extreme Regimes Ahmed Aloui Ali Hasan Yuting Ng Miroslav Pajic Vahid Tarokh 68 0 0 20 Jun 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems Song Jiang Zijie Huang Xiao Luo Luke Huan CML 121 19 0 20 Jun 2023
Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning Muhammad Sulaiman Mahdieh Ahmadi M. A. Salahuddin R. Boutaba A. Saleh 98 9 0 15 Jun 2023
Advancing Counterfactual Inference through Nonlinear Quantile Regression Shaoan Xie Erdun Gao Bin Gu Tongliang Liu Kun Zhang 142 1 0 09 Jun 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time Toon Vanderschueren Alicia Curth Wouter Verbeke M. Schaar 118 15 0 07 Jun 2023
Worst-risk minimization in generalized structural equation models Philip Kennerberg Ernst C. Wit 98 0 0 06 Jun 2023
Contagion Effect Estimation Using Proximal Embeddings Zahra Fatemi Elena Zheleva 100 1 0 04 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 102 12 0 31 May 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David Clifton 163 11 0 25 May 2023
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers Tomoharu Iwata Yoichi Chikahara CML FedML 94 1 0 19 May 2023
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation Niki Kiriakidou Christos Diou CML 51 4 0 11 May 2023
An Efficient Doubly-Robust Test for the Kernel Treatment Effect Diego Martinez-Taboada Aaditya Ramdas Edward H. Kennedy OOD 122 10 0 26 Apr 2023
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion Ziqi Xu Debo Cheng Jiuyong Li Jixue Liu Lin Liu Kui Yu CML 125 2 0 24 Apr 2023
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 210 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 Shantanu Ghosh Zheng Feng Jiang Bian Kevin R. B. Butler M. Prosperi CML OOD BDL 45 1 0 07 Mar 2023
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 92 26 0 04 Mar 2023
Continual Causal Inference with Incremental Observational Data Zhixuan Chu Ruopeng Li S. Rathbun Sheng Li CML 108 15 0 03 Mar 2023
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation Damian Machlanski Spyridon Samothrakis Paul Clarke ELM CML 102 9 0 02 Mar 2023
Learning high-dimensional causal effect Aayush Agarwal Saksham Bassi CML SyDa 55 0 0 01 Mar 2023
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 97 0 0 27 Feb 2023
Knowledge Graph Completion with Counterfactual Augmentation Heng Chang Jie Cai Jia Li 100 27 0 25 Feb 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Alicia Curth M. Schaar CML 92 4 0 23 Feb 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zijian Li CML 222 36 0 10 Feb 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation Alicia Curth M. Schaar CML 107 28 0 06 Feb 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 186 31 0 04 Feb 2023
Domain Adaptation via Rebalanced Sub-domain Alignment Yi-Ling Liu Juncheng Dong Ziyang Jiang Ahmed Aloui Keyu Li Hunter Klein Vahid Tarokh David Carlson 105 4 0 03 Feb 2023