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Learning Representations for Counterfactual Inference

12 May 2016

Papers citing "Learning Representations for Counterfactual Inference"

50 / 403 papers shown

Title
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects Zhongyuan Liang L. Laan Ahmed Alaa 9 0 0 16 Jun 2025
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization Undral Byambadalai Tomu Hirata Tatsushi Oka Shota Yasui 29 0 0 06 Jun 2025
A Distributionally-Robust Framework for Nuisance in Causal Effect Estimation Akira Tanimoto 47 0 0 23 May 2025
M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model Xingyu Li Qing Liu Tony Jiang Hong Amy Xia Brian P. Hobbs Peng Wei 35 0 0 23 May 2025
PO-Flow: Flow-based Generative Models for Sampling Potential Outcomes and Counterfactuals Dongze Wu David I. Inouye Yao Xie 34 0 0 21 May 2025
Q-function Decomposition with Intervention Semantics with Factored Action Spaces Junkyu Lee Tian Gao Elliot Nelson Miao Liu D. Bhattacharjya Songtao Lu OffRL 90 0 0 30 Apr 2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 125 0 0 29 Apr 2025
The Estimation of Continual Causal Effect for Dataset Shifting Streams Baining Chen Yiming Zhang Yuqiao Han Ruyue Zhang Ruihuan Du Zhishuo Zhou Zhengdan Zhu Xun Liu Jiecheng Guo 411 0 0 29 Apr 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Hangtao Zhang Zhe Li Kai Zhang 74 0 0 26 Apr 2025
Semiparametric Counterfactual Regression Kwangho Kim OffRL 92 0 0 03 Apr 2025
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do Yoav Wald M. Goldstein Yonathan Efroni Wouter A. C. van Amsterdam Rajesh Ranganath CML 177 0 0 20 Mar 2025
KANITE: Kolmogorov-Arnold Networks for ITE estimation Eshan Mehendale Abhinav Thorat Ravi Kolla N. Pedanekar CML 116 1 0 18 Mar 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation Changchang Yin Hong-You Chen Wei-Lun Chao Ping Zhang CML 100 1 0 06 Mar 2025
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption Weilin Chen Ruichu Cai Jie Qiao Yuguang Yan José Miguel Hernández-Lobato CML 94 0 0 27 Feb 2025
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination Weilin Chen Ruichu Cai Junjie Wan Zeqin Yang José Miguel Hernández-Lobato 120 1 0 26 Feb 2025
Learning Counterfactual Outcomes Under Rank Preservation Peng Wu Haoxuan Li Chunyuan Zheng Yan Zeng Jiawei Chen Yang Liu Ruocheng Guo Kai Zhang 93 0 0 10 Feb 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML OOD BDL 128 2 0 06 Feb 2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets Yuxin Wang Maresa Schröder Dennis Frauen Jonas Schweisthal Konstantin Hess Stefan Feuerriegel CML 176 3 0 16 Dec 2024
Estimating the treatment effect over time under general interference through deep learner integrated TMLE Suhan Guo Furao Shen Ni Li CML 154 0 0 06 Dec 2024
$C$^{2}$INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention$ C $^{2}$ INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention Xiaohe Li Feilong Huang Zide Fan Fangli Mou Leilei Lin Yingyan Hou Lijie Wen 108 0 0 19 Nov 2024
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation Hechuan Wen Tong Chen Guanhua Ye Li Kheng Chai S. Sadiq Hongzhi Yin OOD 107 1 0 18 Nov 2024
Testing Generalizability in Causal Inference Daniel de Vassimon Manela Linying Yang Robin J. Evans 78 0 0 05 Nov 2024
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects Dong Yao Caizhi Tang Daixin Wang Longfei Li CML 69 0 0 28 Oct 2024
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification Xiaoxue Han Huzefa Rangwala Yue Ning BDL OOD CML 68 0 0 27 Oct 2024
Causality for Large Language Models Anpeng Wu Kun Kuang Minqin Zhu Yingrong Wang Yujia Zheng Kairong Han Yangqiu Song Guangyi Chen Leilei Gan Kun Zhang LRM 107 9 0 20 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomes Yuchen Ma Valentyn Melnychuk Jonas Schweisthal Stefan Feuerriegel DiffM 188 7 0 11 Oct 2024
Are causal effect estimations enough for optimal recommendations under multitreatment scenarios? Sherly Alfonso-Sánchez Kristina P. Sendova Cristián Bravo CML 36 0 0 07 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 172 0 0 04 Oct 2024
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification Michael Vollenweider Manuel Schürch Chiara Rohrer Gabriele Gut Michael Krauthammer Andreas Wicki CML 54 0 0 01 Oct 2024
Optimizing Treatment Allocation in the Presence of Interference Daan Caljon Jente Van Belle Jeroen Berrevoets Wouter Verbeke 118 0 0 30 Sep 2024
Ads Supply Personalization via Doubly Robust Learning Wei Shi Chen Fu Qi Xu Sanjian Chen Jizhe Zhang Qinqin Zhu Zhigang Hua Shuang Yang OffRL 66 1 0 29 Sep 2024
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference Oscar Clivio Avi Feller Chris Holmes CML OOD 70 3 0 24 Sep 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm R. Teal Witter Christopher Musco 73 0 0 06 Sep 2024
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation Chan Hsu Jun-Ting Wu Yihuang Kang CML 34 0 0 27 Aug 2024
Identifying treatment response subgroups in observational time-to-event data Vincent Jeanselme Chang Ho Yoon Fabian Falck Brian D. M. Tom Jessica Barrett OOD CML 162 0 0 06 Aug 2024
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference Hengrui Cai Huaqing Jin Lexin Li 58 1 0 02 Aug 2024
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement Ahmad Saeed Khan Erik Schaffernicht J. A. Stork CML 131 0 0 29 Jul 2024
Causal Interventional Prediction System for Robust and Explainable Effect Forecasting Zhixuan Chu Hui Ding Guang Zeng Shiyu Wang Yiming Li CML 69 1 0 29 Jul 2024
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation Ziheng Wang Xinhe Li H. Momma Stefan Köpsell CML 60 0 0 23 Jul 2024
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction Undral Byambadalai Tatsushi Oka Shota Yasui CML 70 3 0 22 Jul 2024
MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction Shuang Li Ziyuan Pu Nan Zhang Duxin Chen Lu Dong Daniel J. Graham Yinhai Wang 112 0 0 19 Jul 2024
Causal Inference with Complex Treatments: A Survey Yingrong Wang Haoxuan Li Minqin Zhu Anpeng Wu Ruoxuan Xiong Leilei Gan Kun Kuang CML 86 1 0 19 Jul 2024
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization Hao Zhou Rongxiao Huang Shaoming Li Guibin Jiang Jiaqi Zheng Bing Cheng Wei Lin 65 4 0 18 Jul 2024
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations Yuling Zhang Anpeng Wu Kun Kuang Liang Du Zixun Sun Zhi Wang OODD 102 2 0 03 Jul 2024
CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration Jiehui Zhou Xumeng Wang Kam-Kwai Wong Wei Zhang Xingyu Liu Juntian Zhang Minfeng Zhu Wei Chen CML 52 0 0 02 Jul 2024
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation Hao Wang Zhichao Chen Yuan Shen Jiajun Fan Zhaoran Liu Degui Yang Xinggao Liu Haoxuan Li 81 0 0 01 Jul 2024
Improve ROI with Causal Learning and Conformal Prediction Meng Ai Zhuo Chen Jibin Wang Jing Shang Tao Tao Zhen Li 87 1 0 01 Jul 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 222 0 0 25 Jun 2024
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation Christopher Bockel-Rickermann Toon Vanderschueren Tim Verdonck Wouter Verbeke CML 82 1 0 12 Jun 2024
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize Samuel Tan P. Frazier 60 0 0 12 Jun 2024