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Quasi-Oracle Estimation of Heterogeneous Treatment Effects

13 December 2017

Papers citing "Quasi-Oracle Estimation of Heterogeneous Treatment Effects"

50 / 275 papers shown

Title
Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data Eric V. Strobl CML 7 0 0 01 Jul 2025
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization Undral Byambadalai Tomu Hirata Tatsushi Oka Shota Yasui 34 0 0 06 Jun 2025
Do-PFN: In-Context Learning for Causal Effect Estimation Jake Robertson Arik Reuter Siyuan Guo Noah Hollmann Frank Hutter Bernhard Schölkopf CML 58 0 0 06 Jun 2025
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments Yuchen Ma Jonas Schweisthal Hengrui Zhang Stefan Feuerriegel OOD CML 50 0 0 02 Jun 2025
Doubly Robust Alignment for Large Language Models Erhan Xu Kai Ye Hongyi Zhou Luhan Zhu Francesco Quinzan Chengchun Shi 31 0 0 01 Jun 2025
Estimating Misreporting in the Presence of Genuine Modification: A Causal Perspective Dylan Zapzalka Trenton Chang Lindsay Warrenburg Sae-Hwan Park Daniel K. Shenfeld Ravi B. Parikh Jenna Wiens Maggie Makar 22 0 0 29 May 2025
TabPFN: One Model to Rule Them All? Qiong Zhang Yan Shuo Tan Qinglong Tian Pengfei Li 28 1 0 26 May 2025
A Distributionally-Robust Framework for Nuisance in Causal Effect Estimation Akira Tanimoto 54 0 0 23 May 2025
M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model Xingyu Li Qing Liu Tony Jiang Hong Amy Xia Brian P. Hobbs Peng Wei 45 0 0 23 May 2025
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Dennis Frauen Maresa Schröder Konstantin Hess Stefan Feuerriegel CML 71 0 0 19 May 2025
Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Mihaela van der Schaar Stefan Feuerriegel CML 63 0 0 19 May 2025
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data Rui Miao Babak Shahbaba Annie Qu OffRL 110 0 0 14 May 2025
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications Haoyang Li Jie Xu Kyra Gan Fei Wang Chengxi Zang FedML CML 65 0 0 04 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 116 0 0 02 May 2025
Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction Maximilian Schuessler Erik Sverdrup Robert Tibshirani CML 88 0 0 01 May 2025
Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects Yichen Liu CML 45 0 0 18 Apr 2025
MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects Juhua Chen Karson shi Jialing He North Chen Kele Jiang CML 70 0 0 02 Apr 2025
Potential of large language model-powered nudges for promoting daily water and energy conservation Zhiyu Li Song Tong Yi Liu Kaiping Peng Chunyan Wang AI4CE 89 0 0 14 Mar 2025
Differentially Private Learners for Heterogeneous Treatment Effects Maresa Schröder Valentyn Melnychuk Stefan Feuerriegel CML 148 2 0 05 Mar 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 134 0 0 07 Feb 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML OOD BDL 138 2 0 06 Feb 2025
UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification Mufan Sang John H. L. Hansen 39 0 0 27 Jan 2025
A New Transformation Approach for Uplift Modeling with Binary Outcome Kun Li Jiang Tian 113 0 0 10 Jan 2025
Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning Tao Liu Qi Xu Wei Shi Zhigang Hua Shuang Yang OffRL 87 0 0 09 Jan 2025
Double Machine Learning for Static Panel Models with Fixed Effects Paul Clarke Annalivia Polselli 171 3 0 03 Jan 2025
Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data Yi Zhang Melody Huang Kosuke Imai CML 142 2 0 15 Dec 2024
Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation Trenton Chang Lindsay Warrenburg Sae-Hwan Park Ravi B. Parikh Maggie Makar Jenna Wiens 133 2 0 02 Dec 2024
Practical Performative Policy Learning with Strategic Agents Qianyi Chen Ying Chen Bo Li 223 0 0 02 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 136 0 0 26 Nov 2024
When Is Heterogeneity Actionable for Personalization? Anya Shchetkina Ron Berman 105 0 0 25 Nov 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel Mihaela van der Schaar CML 272 5 0 05 Nov 2024
Hierarchical and Density-based Causal Clustering Kwangho Kim Jisu Kim Larry A. Wasserman Edward H. Kennedy CML 95 0 0 02 Nov 2024
Training and Evaluating Causal Forecasting Models for Time-Series Thomas Crasson Yacine Nabet Mathias Lécuyer CML AI4TS 136 0 0 31 Oct 2024
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects Dong Yao Caizhi Tang Daixin Wang Longfei Li CML 69 0 0 28 Oct 2024
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure Chen Zhang Randolph Yao Si Qin Ze Li Shekhar Agrawal ... Tri Tran Minghua Ma Qingwei Lin Murali Chintalapati Dongmei Zhang 408 0 0 23 Oct 2024
Conditional Outcome Equivalence: A Quantile Alternative to CATE Josh Givens Henry W. J. Reeve Song Liu Katarzyna Reluga CML 106 1 0 16 Oct 2024
DAG-aware Transformer for Causal Effect Estimation Manqing Liu David R. Bellamy Andrew L. Beam CML 53 5 0 13 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomes Yuchen Ma Valentyn Melnychuk Jonas Schweisthal Stefan Feuerriegel DiffM 188 7 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 183 119 0 11 Oct 2024
Are causal effect estimations enough for optimal recommendations under multitreatment scenarios? Sherly Alfonso-Sánchez Kristina P. Sendova Cristián Bravo CML 41 0 0 07 Oct 2024
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding Henri Arno Paloma Rabaey Thomas Demeester CML 214 0 0 23 Sep 2024
Estimating Wage Disparities Using Foundation Models Keyon Vafa Susan Athey David M. Blei 176 3 0 15 Sep 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm R. Teal Witter Christopher Musco 73 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 54 1 0 03 Sep 2024
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth Yuxiang Wei Zhaoxin Qiu Yingjie Li Yuke Sun Xiaoling Li OffRL 71 0 0 23 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 63 0 0 13 Aug 2024
Distilling interpretable causal trees from causal forests Patrick Rehill CML 71 0 0 02 Aug 2024
Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning Bobby Chen Siyu Chen Jason Dowlatabadi Yu Xuan Hong Vinayak Iyer ... Kaichen Wei Chen Xu Jingnan Yang Allen T. Zhang Guoqing Zhang OffRL 141 1 0 26 Jul 2024
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction Undral Byambadalai Tatsushi Oka Shota Yasui CML 70 3 0 22 Jul 2024
Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes Alexandre Abraham Andrés Hoyos-Idrobo CML 16 2 0 20 Jul 2024