Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects

21 January 2020

Papers citing "Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects"

26 / 26 papers shown

Title
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 59 1 0 08 May 2025
TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis Ayoub Abraich CML 38 0 0 03 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
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 57 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 58 1 0 26 Feb 2025
Treatment response as a latent variable Christopher Tosh Boyuan Zhang Wesley Tansey CML 66 0 0 12 Feb 2025
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 56 2 0 05 Nov 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 67 0 0 25 Jun 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 44 7 0 06 May 2024
C-XGBoost: A tree boosting model for causal effect estimation Niki Kiriakidou I. Livieris Christos Diou CML 31 1 0 31 Mar 2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 32 9 0 19 Nov 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 71 2 0 16 Oct 2023
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference Sahara Ali Omar Faruque Yiyi Huang Md. Osman Gani Aneesh Subramanian Nicole-Jienne Shchlegel Jianwu Wang CML 38 3 0 22 Feb 2023
Domain Adaptation via Rebalanced Sub-domain Alignment Yi-Ling Liu Juncheng Dong Ziyang Jiang Ahmed Aloui Keyu Li Hunter Klein Vahid Tarokh David Carlson 34 2 0 03 Feb 2023
How to select predictive models for causal inference? M. Doutreligne Gaël Varoquaux ELM CML 29 2 0 01 Feb 2023
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data Junhong Xu Kai-Li Yin Jason M. Gregory Lantao Liu CML 23 3 0 17 Oct 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 34 52 0 16 Jun 2022
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage Alexis Bellot Anish Dhir G. Prando CML 18 11 0 29 May 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 24 29 0 02 Feb 2022
BITES: Balanced Individual Treatment Effect for Survival data Stefan Schrod Andreas Schäfer S. Solbrig R. Lohmayer W. Gronwald P. Oefner T. Beissbarth Rainer Spang H. Zacharias Michael Altenbuchinger CML 17 22 0 05 Jan 2022
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 27 29 0 26 Oct 2021
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 35 14 0 11 Oct 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 80 0 08 Sep 2021
$Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence$ Beyond $\mathcal{H}$ -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence Changjian Shui Qi Chen Jun Wen Fan Zhou Christian Gagné Boyu Wang 38 22 0 30 Jul 2020
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 790 0 19 Feb 2009