On Measurement Bias in Causal Inference

15 March 2012

Papers citing "On Measurement Bias in Causal Inference"

39 / 39 papers shown

Title
Unveiling and Causalizing CoT: A Causal Pespective Jiarun Fu LiZhong Ding Hao Li P. Li Qiuning Wei Xu Chen LRM 83 0 0 25 Feb 2025
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders Parjanya Prashant Seyedeh Baharan Khatami Bruno Ribeiro Babak Salimi 81 0 0 29 Nov 2024
Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Status Samuel Lee Zach Wood-Doughty CML 50 0 0 05 Nov 2024
Estimating Individual Dose-Response Curves under Unobserved Confounders from Observational Data Shutong Chen Yang Li CML 26 0 0 21 Oct 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives Yaochen Zhu Yinhan He Jing Ma Mengxuan Hu Sheng Li Jundong Li CML 43 3 0 20 Jun 2024
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View Haoyue Dai Ignavier Ng Gongxu Luo Peter Spirtes P. Stojanov Anton van den Hengel CML 32 6 0 21 Mar 2024
Recovering Latent Confounders from High-dimensional Proxy Variables Nathan Mankovich Homer Durand Emiliano Díaz Gherardo Varando Gustau Camps-Valls 27 0 0 21 Mar 2024
Proximal Causal Inference With Text Data Jacob M. Chen Rohit Bhattacharya Katherine A. Keith 27 1 0 12 Jan 2024
Conditional Modeling Based Automatic Video Summarization Jia-Hong Huang Chao-Han Huck Yang Pin-Yu Chen Min-Hung Chen M. Worring VGen 23 5 0 20 Nov 2023
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs Jacqueline R. M. A. Maasch Weishen Pan Shantanu Gupta Volodymyr Kuleshov Kyra Gan Fei Wang 30 6 0 25 Oct 2023
Dissecting Causal Biases Ruta Binkyt.e Sami Zhioua Yassine Turki CML FaML 37 2 0 20 Oct 2023
Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu A. Gretton CML 26 2 0 08 Aug 2023
Causal Video Summarizer for Video Exploration Jia-Hong Huang Chao-Han Huck Yang Pin-Yu Chen Andrew Brown M. Worring VGen 31 9 0 04 Jul 2023
Identifiable causal inference with noisy treatment and no side information Antti Pöllänen Pekka Marttinen CML 24 2 0 18 Jun 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 22 10 0 22 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 35 21 0 04 Mar 2023
Representation Disentaglement via Regularization by Causal Identification Juan Castorena OOD CML 26 0 0 28 Feb 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Yong Liu CML 35 2 0 19 Feb 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies Ibrahim M. Alabdulmohsin Nicole Chiou Alexander DÁmour A. Gretton Sanmi Koyejo Matt J. Kusner Stephen R. Pfohl Olawale Salaudeen Jessica Schrouff Katherine Tsai 68 9 0 21 Dec 2022
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error Yuqin Yang AmirEmad Ghassami M. Nafea Negar Kiyavash Anton van den Hengel I. Shpitser CML 11 7 0 08 Nov 2022
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models Haoyue Dai Peter Spirtes Anton van den Hengel CML 18 10 0 20 Oct 2022
Innovations in Neural Data-to-text Generation: A Survey Mandar Sharma Ajay K. Gogineni Naren Ramakrishnan 32 10 0 25 Jul 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 42 57 0 31 Mar 2022
Deep Recurrent Modelling of Granger Causality with Latent Confounding Zexuan Yin P. Barucca CML BDL 28 12 0 23 Feb 2022
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies Lu Cheng Ruocheng Guo Huan Liu CML 18 6 0 19 Dec 2021
Causal Effect Variational Autoencoder with Uniform Treatment Daniel Jiwoong Im Kyunghyun Cho N. Razavian OOD CML BDL 20 9 0 16 Nov 2021
Dependent Multi-Task Learning with Causal Intervention for Image Captioning Wenqing Chen Jidong Tian Caoyun Fan Hao He Yaohui Jin CML 21 6 0 18 May 2021
Causal Mediation Analysis with Hidden Confounders Lu Cheng Ruocheng Guo Huan Liu CML 23 15 0 21 Feb 2021
Generating Synthetic Text Data to Evaluate Causal Inference Methods Zach Wood-Doughty I. Shpitser Mark Dredze SyDa CML 20 11 0 10 Feb 2021
Causal Effects of Linguistic Properties Reid Pryzant Dallas Card Dan Jurafsky Victor Veitch Dhanya Sridhar CML 11 47 0 24 Oct 2020
From Optimizing Engagement to Measuring Value S. Milli Luca Belli Moritz Hardt 6 46 0 21 Aug 2020
Structural Causal Models Are (Solvable by) Credal Networks Marco Zaffalon Alessandro Antonucci Rafael Cabañas 9 23 0 02 Aug 2020
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett Nathan Kallus Lihong Li Ali Mousavi OffRL 35 43 0 27 Jul 2020
Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network Yuan Meng CML BDL 10 3 0 09 Sep 2019
Policy Evaluation with Latent Confounders via Optimal Balance Andrew Bennett Nathan Kallus CML 16 18 0 06 Aug 2019
Adapting Text Embeddings for Causal Inference Victor Veitch Dhanya Sridhar David M. Blei CML 14 21 0 29 May 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 15 56 0 11 Feb 2019
An Upper Bound for Random Measurement Error in Causal Discovery Tineke Blom A. Klimovskaia Sara Magliacane Joris M. Mooij 30 10 0 18 Oct 2018
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 63 727 0 24 May 2017