Towards optimal doubly robust estimation of heterogeneous causal effects

29 April 2020

Papers citing "Towards optimal doubly robust estimation of heterogeneous causal effects"

50 / 158 papers shown

Title
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Dennis Frauen Maresa Schröder Konstantin Hess Stefan Feuerriegel CML 26 0 0 19 May 2025
Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen Valentyn Melnychuk Jonas Schweisthal M. Schaar Stefan Feuerriegel CML 11 0 0 19 May 2025
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Xinran Song Tianyu Chen Mingyuan Zhou DiffM CML 36 0 0 16 May 2025
Causal Predictive Optimization and Generation for Business AI Liyang Zhao Olurotimi Seton Himadeep Reddy Reddivari Suvendu Jena Shadow Zhao Rachit Kumar Changshuai Wei CML 36 0 0 14 May 2025
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence Winston Chen Trenton Chang Jenna Wiens CML 53 0 0 08 May 2025
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling David Svensson Erik Hermansson N. Nikolaou Konstantinos Sechidis Ilya Lipkovich CML 61 0 0 02 May 2025
Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction Maximilian Schuessler Erik Sverdrup Robert Tibshirani CML 52 0 0 01 May 2025
Semiparametric Counterfactual Regression Kwangho Kim OffRL 43 0 0 03 Apr 2025
MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects Juhua Chen Karson shi Jialing He North Chen Kele Jiang CML 44 0 0 02 Apr 2025
Domain Adaptation Under MNAR Missingness Tyrel Stokes Hyungrok Do Saul Blecker Rumi Chunara Samrachana Adhikari OOD 45 0 0 01 Apr 2025
The Hardness of Validating Observational Studies with Experimental Data Jake Fawkes Michael O'Riordan Athanasios Vlontzos Oriol Corcoll Ciarán M. Gilligan-Lee 61 1 0 19 Mar 2025
Differentially Private Learners for Heterogeneous Treatment Effects Maresa Schröder Valentyn Melnychuk Stefan Feuerriegel CML 72 0 0 05 Mar 2025
Long-term Causal Inference via Modeling Sequential Latent Confounding Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao José Miguel Hernández-Lobato CML 87 1 0 26 Feb 2025
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination Weilin Chen Ruichu Cai Junjie Wan Zeqin Yang José Miguel Hernández-Lobato 61 1 0 26 Feb 2025
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes V. Chauhan Lei A. Clifton Gaurav Nigam David Clifton CML 65 0 0 12 Feb 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 86 0 0 07 Feb 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML OOD BDL 61 2 0 06 Feb 2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets Yuxin Wang Maresa Schröder Dennis Frauen Jonas Schweisthal Konstantin Hess Stefan Feuerriegel CML 88 0 0 16 Dec 2024
Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data Yi Zhang Melody Huang Kosuke Imai CML 93 2 0 15 Dec 2024
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources Vibhhu Sharma Bryan Wilder 31 0 0 11 Nov 2024
Doubly robust inference with censoring unbiased transformations Oliver Lunding Sandqvist 26 0 0 07 Nov 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 61 3 0 05 Nov 2024
Hierarchical and Density-based Causal Clustering Kwangho Kim Jisu Kim Larry A. Wasserman Edward H. Kennedy CML 21 0 0 02 Nov 2024
Accounting for Missing Covariates in Heterogeneous Treatment Estimation Khurram Yamin Vibhhu Sharma Ed Kennedy Bryan Wilder 19 0 0 21 Oct 2024
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes Hugh Dance Peter Orbanz Arthur Gretton CML 42 1 0 18 Oct 2024
Conditional Outcome Equivalence: A Quantile Alternative to CATE Josh Givens Henry W. J. Reeve Song Liu Katarzyna Reluga CML 38 0 0 16 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomes Yuchen Ma Valentyn Melnychuk Jonas Schweisthal Stefan Feuerriegel DiffM 48 3 0 11 Oct 2024
Causal machine learning for predicting treatment outcomes Stefan Feuerriegel Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Konstantin Hess Alicia Curth Stefan Bauer Niki Kilbertus Isaac S. Kohane Mihaela van der Schaar CML 32 95 0 11 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 46 1 0 29 Sep 2024
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 41 0 0 29 Sep 2024
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding Henri Arno Paloma Rabaey Thomas Demeester CML 33 0 0 23 Sep 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm R. Teal Witter Christopher Musco 48 0 0 06 Sep 2024
Double Machine Learning at Scale to Predict Causal Impact of Customer Actions Sushant More Priya Kotwal Sujith Chappidi Dinesh Mandalapu Chris Khawand AI4CE 31 1 0 03 Sep 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning Pengfei Shi Wei Zhong Xinyu Zhang Ningtao Wang Xing Fu Weiqiang Wang Yin Jin CML BDL 31 0 0 30 Aug 2024
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth Yuxiang Wei Zhaoxin Qiu Yingjie Li Yuke Sun Xiaoling Li OffRL 26 0 0 23 Aug 2024
Causal inference through multi-stage learning and doubly robust deep neural networks Yuqian Zhang Jelena Bradic OOD CML 32 0 0 11 Jul 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 37 7 0 07 Jul 2024
Robust CATE Estimation Using Novel Ensemble Methods Oshri Machluf Tzviel Frostig Gal Shoham T. Milo Elad Berkman Raviv Pryluk CML 39 0 0 04 Jul 2024
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect Jiehui Zhou Linxiao Yang Xingyu Liu Xinyue Gu Lin Sun Wei Chen CML 47 0 0 01 Jul 2024
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions Trenton Chang Jenna Wiens 34 0 0 27 Jun 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 70 0 0 25 Jun 2024
Orthogonalized Estimation of Difference of $Q$ -functions Angela Zhou 50 0 0 12 Jun 2024
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize Samuel Tan P. Frazier 41 0 0 12 Jun 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data M. Oprescu Nathan Kallus CML 33 0 0 10 Jun 2024
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML OOD 46 1 0 06 Jun 2024
Prediction-powered Generalization of Causal Inferences Ilker Demirel Ahmed M. Alaa Anthony Philippakis David Sontag OOD 42 4 0 05 Jun 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments Jonas Schweisthal Dennis Frauen M. Schaar Stefan Feuerriegel CML 47 4 0 04 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 114 1 0 04 Jun 2024
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark Fredrik D. Johansson CML 34 0 0 25 May 2024
Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy Kaihua Ding Jingsong Cui Mohammad Soltani Jing Jin CML OOD 33 0 0 23 May 2024