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
Continual Causal Effect Estimation: Challenges and Opportunities Zhixuan Chu Sheng Li CML 30 0 0 03 Jan 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects Thanh Vinh Vo Arnab Bhattacharyya Young Lee Tze-Yun Leong FedML 21 19 0 01 Jan 2023
An Instrumental Variable Approach to Confounded Off-Policy Evaluation Yang Xu Jin Zhu C. Shi S. Luo R. Song OffRL 21 14 0 29 Dec 2022
Deep Causal Learning for Robotic Intelligence Yongqian Li CML 37 5 0 23 Dec 2022
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
Instrumental Variables in Causal Inference and Machine Learning: A Survey Anpeng Wu Kun Kuang Ruoxuan Xiong Fei Wu SyDa CML 25 6 0 12 Dec 2022
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Jake Fawkes Robert Hu R. Evans Dino Sejdinovic OOD 33 3 0 09 Dec 2022
Causal Inference with Conditional Instruments using Deep Generative Models Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Jixue Liu T. Le CML 29 11 0 29 Nov 2022
Causal Deep Reinforcement Learning Using Observational Data Wenxuan Zhu Chao Yu Q. Zhang CML OffRL 20 5 0 28 Nov 2022
Confounder Balancing for Instrumental Variable Regression with Latent Variable Anpeng Wu Kun Kuang Ruoxuan Xiong Bo Li Fei Wu CML 40 0 0 18 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Inference and Denoise: Causal Inference-based Neural Speech Enhancement Tsun-An Hsieh Chao-Han Huck Yang Pin-Yu Chen Sabato Marco Siniscalchi Yu Tsao CML 52 2 0 02 Nov 2022
Robust Direct Learning for Causal Data Fusion Xinyu Li Yilin Li Daixin Wang Longfei Li Jun Zhou CML 20 1 0 01 Nov 2022
Changes from Classical Statistics to Modern Statistics and Data Science Kai Zhang Shan-Yu Liu M. Xiong 31 0 0 30 Oct 2022
Nonlinear Causal Discovery via Kernel Anchor Regression Wenqi Shi Wenkai Xu CML BDL 15 0 0 30 Oct 2022
Learning Individual Treatment Effects under Heterogeneous Interference in Networks Ziyu Zhao Yuqi Bai Kun Kuang Ruoxuan Xiong Fei Wu CML 24 6 0 25 Oct 2022
Sample Constrained Treatment Effect Estimation Raghavendra Addanki David Arbour Tung Mai Cameron Musco Anup B. Rao 11 7 0 12 Oct 2022
Causal Inference for Chatting Handoff Shan Zhong Jinghui Qin Zhongzhan Huang Daifeng Li 25 0 0 06 Oct 2022
Transfer Learning for Individual Treatment Effect Estimation Ahmed Aloui Juncheng Dong Cat P. Le Vahid Tarokh CML 48 2 0 01 Oct 2022
Causal Estimation for Text Data with (Apparent) Overlap Violations Lin Gui Victor Veitch OOD 8 11 0 30 Sep 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 43 32 0 30 Sep 2022
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information Yulun Wu Robert A. Barton Zichen Wang V. Ioannidis Carlo De Donno Layne Price L. Voloch George Karypis BDL CML 39 10 0 30 Sep 2022
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions V. T. Trifunov M. Shadaydeh Joachim Denzler CML BDL 23 3 0 23 Sep 2022
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 32 7 0 19 Sep 2022
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms Hang Chen Keqing Du Xinyu Yang Chenguang Li CML 39 11 0 14 Sep 2022
Variational Causal Inference Yulun Wu Layne Price Zichen Wang V. Ioannidis Robert A. Barton George Karypis BDL CML 51 4 0 13 Sep 2022
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information Yiyan Huang Cheuk Hang Leung Shumin Ma Qi Wu DongDong Wang Zhixiang Huang OOD CML 37 3 0 05 Sep 2022
Robust Causal Learning for the Estimation of Average Treatment Effects Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Shumin Ma Zhiri Yuan DongDong Wang Zhixiang Huang OOD CML 23 7 0 05 Sep 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 11 6 0 04 Sep 2022
An evaluation framework for comparing causal inference models Niki Kiriakidou Christos Diou CML ELM 11 4 0 31 Aug 2022
Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond Xiangyi Kong Xiaoyu Jiang Bingxin Zhang Jinsong Yuan Zhiqiang Ge 21 67 0 23 Aug 2022
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey Debo Cheng Jiuyong Li Lin Liu Jixue Liu T. Le CML 38 26 0 20 Aug 2022
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects Guanglin Zhou Lina Yao Xiwei Xu Chen Wang Liming Zhu OOD CML BDL 17 2 0 13 Aug 2022
Causal Imitation Learning with Unobserved Confounders Junzhe Zhang D. Kumor Elias Bareinboim CML 21 72 0 12 Aug 2022
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning Ruichu Cai Weilin Chen Zeqin Yang Shu Wan Chen Zheng Xiaoqing Yang Jiecheng Guo CML BDL 37 12 0 09 Aug 2022
Efficient Classification with Counterfactual Reasoning and Active Learning A. Mohammed D. Nguyen Bao Duong T. Nguyen CML 27 0 0 25 Jul 2022
Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data Zheng Feng M. Prosperi Jiang Bian CML 11 0 0 23 Jul 2022
Causal Discovery using Model Invariance through Knockoff Interventions Wasim Ahmad M. Shadaydeh Joachim Denzler CML 17 4 0 08 Jul 2022
Learning Causal Effects on Hypergraphs Jing Ma Mengting Wan Longqi Yang Jundong Li Brent J. Hecht J. Teevan CML 27 48 0 07 Jul 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 29 20 0 13 Jun 2022
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa Connor Jerzak Fredrik D. Johansson Adel Daoud CML 24 5 0 13 Jun 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 26 2 0 06 Jun 2022
DÁRTAGNAN: Counterfactual Video Generation Hadrien Reynaud Athanasios Vlontzos Mischa Dombrowski Ciarán M. Gilligan-Lee A. Beqiri Paul Leeson Bernhard Kainz VGen CML MedIm 30 19 0 03 Jun 2022
Causality Learning With Wasserstein Generative Adversarial Networks H. Petkov Colin Hanley Feng Dong CML GAN OOD 14 0 0 03 Jun 2022
Detecting hidden confounding in observational data using multiple environments R. Karlsson Jesse H. Krijthe CML OOD 42 12 0 27 May 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 31 60 0 25 May 2022
An improved neural network model for treatment effect estimation Niki Kiriakidou Christos Diou CML 48 3 0 23 May 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa David R. Bellamy Thomas Kolokotrones J. M. Robins Andrew L. Beam 31 12 0 19 May 2022
Causal Inference from Small High-dimensional Datasets Raquel Y. S. Aoki Martin Ester CML 21 4 0 19 May 2022
Searching for subgroup-specific associations while controlling the false discovery rate M. Sesia Tianshu Sun 26 0 0 17 May 2022