Causal Effect Inference with Deep Latent-Variable Models

24 May 2017

Joris Mooij

Papers citing "Causal Effect Inference with Deep Latent-Variable Models"

50 / 401 papers shown

Title
Does Misclassifying Non-confounding Covariates as Confounders Affect the Causal Inference within the Potential Outcomes Framework? Yonghe Zhao Q. Huang Shuai Fu H. Sun CML 11 0 0 22 Aug 2023
Uplift Modeling: from Causal Inference to Personalization Felipe Moraes Hugo Manuel Proença A. Kornilova Javier Albert Dmitri Goldenberg CML 17 10 0 17 Aug 2023
SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling M. Vowels CML 21 1 0 08 Aug 2023
Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu A. Gretton CML 26 2 0 08 Aug 2023
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference Yonghe Zhao Q. Huang Siwei Wu Yun Peng H. Sun BDL CML 19 0 0 02 Aug 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 17 7 0 24 Jul 2023
Multiply Robust Estimator Circumvents Hyperparameter Tuning of Neural Network Models in Causal Inference Mehdi Rostami O. Saarela CML 21 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 25 5 0 06 Jul 2023
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables Ruta Binkyt.e D. Gorla C. Palamidessi FaML 25 1 0 06 Jul 2023
Causal Video Summarizer for Video Exploration Jia-Hong Huang Chao-Han Huck Yang Pin-Yu Chen Andrew Brown M. Worring VGen 26 9 0 04 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 35 36 0 27 Jun 2023
Variational Counterfactual Prediction under Runtime Domain Corruption Hechuan Wen Tong Chen L. K. Chai S. Sadiq Junbin Gao Hongzhi Yin OOD 31 2 0 23 Jun 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 24 1 0 20 Jun 2023
Identifiable causal inference with noisy treatment and no side information Antti Pöllänen Pekka Marttinen CML 17 2 0 18 Jun 2023
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding Myrl G. Marmarelis Greg Ver Steeg Aram Galstyan Fred Morstatter CML OOD 16 5 0 15 Jun 2023
Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators Ziyang Jiang Yi-Ling Liu M. H. Klein Ahmed Aloui Yiman Ren Keyu Li Vahid Tarokh David Carlson CML 17 0 0 13 Jun 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations Jingquan Yan Hao Wang BDL AI4TS 23 13 0 09 Jun 2023
Contagion Effect Estimation Using Proximal Embeddings Zahra Fatemi Elena Zheleva 29 1 0 04 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 19 11 0 02 Jun 2023
Calibrated and Conformal Propensity Scores for Causal Effect Estimation Shachi Deshpande Volodymyr Kuleshov CML 14 1 0 01 Jun 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing Dugang Liu Xing Tang Han Gao Fuyuan Lyu Xiuqiang He 22 15 0 01 Jun 2023
Counterfactual Generative Models for Time-Varying Treatments Shenghao Wu Wen-liang Zhou Minshuo Chen Shixiang Zhu DiffM CML 34 6 0 25 May 2023
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias Victoria Lin Louis-Philippe Morency Dimitrios Dimitriadis Srinagesh Sharma CML 21 1 0 23 May 2023
Causalainer: Causal Explainer for Automatic Video Summarization Jia-Hong Huang Chao-Han Huck Yang Pin-Yu Chen Min-Hung Chen M. Worring CML VGen 25 12 0 30 Apr 2023
An Efficient Doubly-Robust Test for the Kernel Treatment Effect Diego Martinez-Taboada Aaditya Ramdas Edward H. Kennedy OOD 23 5 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 29 2 0 24 Apr 2023
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models R. Tahmasbi Keyvan Tahmasbi 11 0 0 12 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 51 141 0 11 Apr 2023
Linking a predictive model to causal effect estimation Jiuyong Li Lin Liu Ziqi Xu Ha Xuan Tran T. Le Jixue Liu CML 28 0 0 10 Apr 2023
XAIR: A Framework of Explainable AI in Augmented Reality Xuhai Xu Anna Yu Tanya R. Jonker Kashyap Todi Feiyu Lu ... Narine Kokhlikyan Fulton Wang P. Sorenson Sophie Kahyun Kim Hrvoje Benko 36 49 0 28 Mar 2023
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman Chao Ma Agrin Hilmkil Joel Jennings Cheng Zhang CML AI4CE 12 10 0 22 Mar 2023
Approaching an unknown communication system by latent space exploration and causal inference G. Beguš Andrej Leban Shane Gero 21 4 0 20 Mar 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 11 0 0 07 Mar 2023
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation Damian Machlanski Spyridon Samothrakis Paul Clarke ELM CML 47 9 0 02 Mar 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 41 25 0 02 Mar 2023
Learning high-dimensional causal effect Aayush Agarwal Saksham Bassi CML SyDa 16 0 0 01 Mar 2023
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes Chirag Nagpal Vedant Sanil A. Dubrawski CML 26 1 0 24 Feb 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Alicia Curth M. Schaar CML 8 3 0 23 Feb 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 30 13 0 23 Feb 2023
Disentangled Representation for Causal Mediation Analysis Ziqi Xu Debo Cheng Jiuyong Li Jixue Liu Lin Liu Ke Wang CML 20 9 0 19 Feb 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Yang Liu CML 35 2 0 19 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 15 25 0 06 Feb 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 35 26 0 04 Feb 2023
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling Fanglan Zheng Menghan Wang Kun Li Jiang Tian Xiaojia Xiang CML 24 0 0 03 Feb 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng Li CML OOD 27 8 0 02 Feb 2023
How to select predictive models for causal inference? M. Doutreligne Gaël Varoquaux ELM CML 29 2 0 01 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 29 12 0 01 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 38 11 0 30 Jan 2023
Estimating Causal Effects using a Multi-task Deep Ensemble Ziyang Jiang Zhuoran Hou Yi-Ling Liu Yiman Ren Keyu Li David Carlson CML 22 6 0 26 Jan 2023
Data-Driven Estimation of Heterogeneous Treatment Effects Christopher Tran Keith Burghardt Kristina Lerman Elena Zheleva CML 30 1 0 16 Jan 2023