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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 with Complex Treatments: A Survey Yingrong Wang Haoxuan Li Minqin Zhu Anpeng Wu Ruoxuan Xiong Leilei Gan Kun Kuang CML 108 3 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 102 6 0 18 Jul 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 194 8 0 07 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 148 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 88 2 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 109 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 112 2 0 01 Jul 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 291 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 106 2 0 12 Jun 2024
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize Samuel Tan P. Frazier 75 1 0 12 Jun 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data Miruna Oprescu Nathan Kallus CML 109 0 0 10 Jun 2024
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML OOD 125 1 0 06 Jun 2024
Prediction-powered Generalization of Causal Inferences Ilker Demirel Ahmed M. Alaa Anthony Philippakis David Sontag OOD 106 9 0 05 Jun 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments Jonas Schweisthal Dennis Frauen M. Schaar Stefan Feuerriegel CML 136 8 0 04 Jun 2024
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation Ruijing Cui Jianbin Sun Bingyu He Kewei Yang Bingfeng Ge 82 0 0 04 Jun 2024
G-Transformer for Conditional Average Potential Outcome Estimation over Time Konstantin Hess Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 149 2 0 31 May 2024
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck Hao Yang Zexu Sun Hongteng Xu Xu Chen 130 4 0 24 May 2024
Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks Jingchi Jiang Rujia Shen Boran Wang Yi Guan OffRL BDL 106 1 0 23 May 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 257 3 0 20 May 2024
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis Daniel Csillag C. Struchiner G. Goedert OOD CML 112 3 0 15 May 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning Weilin Chen Ruichu Cai Zeqin Yang Jie Qiao Yuguang Yan Zijian Li Zhifeng Hao CML 125 8 0 06 May 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference Haoxuan Li Chunyuan Zheng Sihao Ding Peng Wu Zhi Geng Fuli Feng Xiangnan He CML 98 10 0 30 Apr 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Yoichi Chikahara Kansei Ushiyama 165 0 0 26 Apr 2024
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation Roger Pros Jordi Vitrià CML 111 0 0 18 Apr 2024
Causal Effect Estimation Using Random Hyperplane Tessellations Abhishek Dalvi Neil Ashtekar V. Honavar 184 0 0 16 Apr 2024
C-XGBoost: A tree boosting model for causal effect estimation Niki Kiriakidou I. Livieris Christos Diou CML 100 1 0 31 Mar 2024
Uplift Modeling Under Limited Supervision G. Panagopoulos Daniele Malitesta Fragkiskos D. Malliaros Jun Pang CML 177 1 0 28 Mar 2024
A Causal Analysis of CO2 Reduction Strategies in Electricity Markets Through Machine Learning-Driven Metalearners Iman Emtiazi Naeini Zahra Saberi Khadijeh Hassanzadeh 60 0 0 21 Mar 2024
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects Seyedeh Baharan Khatami Harsh Parikh Haowei Chen Sudeepa Roy Babak Salimi OOD 108 2 0 17 Mar 2024
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference Krzysztof Kacprzyk Samuel Holt Jeroen Berrevoets Zhaozhi Qian M. Schaar 145 9 0 16 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 126 1 0 05 Mar 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects Yingrong Wang Anpeng Wu Haoxuan Li Weiming Liu Qiaowei Miao Ruoxuan Xiong Leilei Gan Kun Kuang 130 0 0 05 Mar 2024
Defining Expertise: Applications to Treatment Effect Estimation Alihan Huyuk Qiyao Wei Alicia Curth M. Schaar CML 106 2 0 01 Mar 2024
Unveiling the Potential of Robustness in Evaluating Causal Inference Models Yiyan Huang Cheuk Hang Leung Siyi Wang Yijun Li Qi Wu OOD CML 108 1 0 28 Feb 2024
Federated Learning for Estimating Heterogeneous Treatment Effects Disha Makhija Joydeep Ghosh Yejin Kim CML FedML 161 2 0 27 Feb 2024
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data Ghadeer O. Ghosheh Moritz Gögl Tingting Zhu 117 0 0 07 Feb 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid Milan Kuzmanovic Dennis Frauen Tobias Hatt Stefan Feuerriegel 149 9 0 30 Jan 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing Lokesh Nagalapatti Akshay Iyer Abir De Sunita Sarawagi CML 82 9 0 27 Jan 2024
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits Yi Guo Hao Liu Yisong Yue Anqi Liu OffRL 123 2 0 21 Jan 2024
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks Ziqiang Cui Xing Tang Yang Qiao Bowei He Liang Chen Xiuqiang He Chen Ma CML 105 0 0 12 Jan 2024
Neural Causal Abstractions K. Xia Elias Bareinboim CML NAI 125 8 0 05 Jan 2024
Is Knowledge All Large Language Models Needed for Causal Reasoning? Hengrui Cai Shengjie Liu Rui Song LRM ELM 196 15 0 30 Dec 2023
Causal Forecasting for Pricing Douglas Schultz Johannes Stephan Julian Sieber Trudie Yeh Manuel Kunz Patrick Doupe Tim Januschowski 130 3 0 23 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 235 6 0 19 Dec 2023
Estimation of individual causal effects in network setup for multiple treatments Abhinav Thorat Ravi Kolla N. Pedanekar N. Onoe CML 38 3 0 18 Dec 2023
Adversarially Balanced Representation for Continuous Treatment Effect Estimation Amirreza Kazemi Martin Ester CML OOD 117 3 0 17 Dec 2023
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model Shunsuke Horii Yoichi Chikahara 83 4 0 16 Dec 2023
Adversarial Distribution Balancing for Counterfactual Reasoning Stefan Schrod Fabian H. Sinz Michael Altenbuchinger OOD CML 115 1 0 28 Nov 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 152 11 0 27 Nov 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 138 14 0 19 Nov 2023