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
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective Hechuan Wen Tong Chen Mingming Gong Li Kheng Chai S. Sadiq Hongzhi Yin CML 58 0 0 08 May 2025
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning Ruichu Cai Junjie Wan Weilin Chen Zeqin Yang Zijian Li Peng Zhen Jiecheng Guo CML 56 1 0 08 May 2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 66 0 0 29 Apr 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Hangtao Zhang Zhe Li K. Zhang 31 0 0 26 Apr 2025
Reimagining Urban Science: Scaling Causal Inference with Large Language Models Yutong Xia Ao Qu Yunhan Zheng Yihong Tang Dingyi Zhuang ... Cathy Wu R. Zimmermann Lijun Sun Roger Zimmermann Jinhua Zhao AI4CE 75 0 0 15 Apr 2025
DeCaFlow: A Deconfounding Causal Generative Model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 39 0 0 19 Mar 2025
The Hardness of Validating Observational Studies with Experimental Data Jake Fawkes Michael O'Riordan Athanasios Vlontzos Oriol Corcoll Ciarán M. Gilligan-Lee 58 1 0 19 Mar 2025
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities Tao Feng Yunke Zhang Huandong Wang Yong Li 156 0 0 09 Mar 2025
ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder Andreas Sauter Saber Salehkaleybar Aske Plaat Erman Acar CML 48 0 0 03 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 66 0 0 27 Feb 2025
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability Mingwei Deng Ville Kyrki Dominik Baumann 43 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 51 1 0 26 Feb 2025
Policy Learning with a Natural Language Action Space: A Causal Approach Bohan Zhang Yixin Wang Paramveer S. Dhillon CML 41 0 0 24 Feb 2025
Your Assumed DAG is Wrong and Here's How To Deal With It Kirtan Padh Zhufeng Li Cecilia Casolo Niki Kilbertus CML 45 0 0 24 Feb 2025
Learning Counterfactual Outcomes Under Rank Preservation Peng Wu Haoxuan Li Chunyuan Zheng Yan Zeng Jiawei Chen Yang Liu Ruocheng Guo K. Zhang 70 0 0 10 Feb 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 64 0 0 10 Jan 2025
Robust Conformal Prediction Using Privileged Information Shai Feldman Yaniv Romano OOD 73 2 0 10 Jan 2025
A New Transformation Approach for Uplift Modeling with Binary Outcome Kun Li Jiang Tian 39 0 0 10 Jan 2025
An AI-powered Bayesian generative modeling approach for causal inference in observational studies Qiao Liu W. Wong CML 39 0 0 03 Jan 2025
Information Subtraction: Learning Representations for Conditional Entropy Keng Hou Leong Yuxuan Xiu Wai Kin Chan 43 0 0 02 Jan 2025
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Shuguang Yu Shuxing Fang Ruixin Peng Zhengling Qi Fan Zhou C. Shi CML OffRL 77 1 0 08 Dec 2024
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data Binbin Hu Zhicheng An Zhengwei Wu Ke Tu Ziqi Liu Zhiqiang Zhang Jun Zhou Yufei Feng Jiawei Chen CML 104 0 0 05 Dec 2024
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data Debo Cheng Ziqi Xu Jiuyong Li Lin Liu T. Le Xudong Guo Shichao Zhang CML 69 0 0 26 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 67 1 0 18 Nov 2024
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects Dong Yao Caizhi Tang Qing Cui Longfei Li CML 21 0 0 28 Oct 2024
Deconfounding Time Series Forecasting Wentao Gao Feiyu Yang Mengze Hong Xiaojing Du Zechen Hu Xiongren Chen Ziqi Xu CML BDL AI4TS 29 0 0 27 Oct 2024
A Deconfounding Framework for Human Behavior Prediction: Enhancing Robotic Systems in Dynamic Environments Wentao Gao Cheng Zhou 34 0 0 27 Oct 2024
Estimating Individual Dose-Response Curves under Unobserved Confounders from Observational Data Shutong Chen Yang Li CML 16 0 0 21 Oct 2024
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions M. Vowels Mathieu Rochat S. Akbari CML GNN OOD 19 0 0 18 Oct 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 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 24 0 0 01 Oct 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 27 1 0 29 Sep 2024
Using Deep Autoregressive Models as Causal Inference Engines Daniel Jiwoong Im Kevin Zhang Nakul Verma Kyunghyun Cho CML 19 1 0 27 Sep 2024
CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency Kangsheng Wang Xiao Zhang Zizheng Guo Tianyu Hu Huimin Ma LRM 42 7 0 20 Sep 2024
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation Melanie F. Pradier Javier González CML 45 0 0 09 Sep 2024
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning Boyu Chen Junjie Liu Zhu Li Mengyue yang 35 1 0 29 Aug 2024
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series Qiang Huang Chuizheng Meng Defu Cao Biwei Huang Yi Chang Yan Liu 41 0 0 16 Aug 2024
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables Yang Xie Ziqi Xu Debo Cheng Jiuyong Li Lin Liu Yinghao Zhang Zaiwen Feng CML BDL 24 0 0 13 Aug 2024
Controlling for discrete unmeasured confounding in nonlinear causal models Patrick Burauel Frederick Eberhardt Michel Besserve CML 23 0 0 10 Aug 2024
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression Anpeng Wu Kun Kuang Ruoxuan Xiong Xiangwei Chen Zexu Sun Fei Wu Kun Zhang CML 25 0 0 10 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 40 0 0 06 Aug 2024
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference Hengrui Cai Huaqing Jin Lexin Li 34 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 23 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 41 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 33 0 0 23 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 31 0 0 19 Jul 2024
Causal Inference with Complex Treatments: A Survey Yingrong Wang Haoxuan Li Minqin Zhu Anpeng Wu Ruoxuan Xiong Fei Wu Kun Kuang CML 40 0 0 19 Jul 2024
Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 29 1 0 15 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives Yaochen Zhu Yinhan He Jing Ma Mengxuan Hu Sheng R. Li Jundong Li CML 43 3 0 20 Jun 2024