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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
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning Yang Xu C. Shi Shuang Luo Lan Wang R. Song OffRL 69 5 0 29 Dec 2022
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding Ashesh Rambachan Amanda Coston Edward H. Kennedy 96 4 0 19 Dec 2022
Nonparametric Estimation of Conditional Incremental Effects Alec McClean Zach Branson Edward H. Kennedy CML 60 8 0 07 Dec 2022
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing Hao Zhou Shaoming Li Guibin Jiang Jiaqi Zheng Dong Wang 62 19 0 28 Nov 2022
Counterfactual Learning with Multioutput Deep Kernels A. Caron G. Baio I. Manolopoulou BDL CML OffRL 72 1 0 20 Nov 2022
Robust Direct Learning for Causal Data Fusion Xinyu Li Yilin Li Daixin Wang Longfei Li Jun Zhou CML 55 1 0 01 Nov 2022
Flexible machine learning estimation of conditional average treatment effects: a blessing and a curse Richard Post Isabel L. van den Heuvel M. Petković Edwin R. van den Heuvel CML 39 1 0 29 Oct 2022
A Double Machine Learning Trend Model for Citizen Science Data Daniel Fink A. Johnston Matthew Strimas‐Mackey T. Auer W. Hochachka ... Lauren Oldham Jaromczyk O. Robinson Christopher Wood S. Kelling A. Rodewald 58 16 0 27 Oct 2022
Distributionally Robust Causal Inference with Observational Data Dimitris Bertsimas Kosuke Imai Michael Lingzhi Li OOD 114 9 0 15 Oct 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation Ioana Bica M. Schaar OOD CML 72 22 0 08 Oct 2022
Heterogeneous Treatment Effect Estimation for Observational Data using Model-based Forests Susanne Dandl Andreas Bender Torsten Hothorn CML 62 6 0 06 Oct 2022
Improving uplift model evaluation on RCT data B. Bokelmann Stefan Lessmann 58 0 0 05 Oct 2022
Generalized Kernel Regularized Least Squares Qing Chang Max Goplerud 51 5 0 28 Sep 2022
Semi-supervised Batch Learning From Logged Data Gholamali Aminian Armin Behnamnia R. Vega Laura Toni Chengchun Shi Hamid R. Rabiee Omar Rivasplata Miguel R. D. Rodrigues OffRL 62 1 0 15 Sep 2022
Learning from a Biased Sample Roshni Sahoo Lihua Lei Stefan Wager 94 19 0 05 Sep 2022
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty Christopher Tran Elena Zheleva CML 70 4 0 25 Jun 2022
Intelligent Request Strategy Design in Recommender System Xufeng Qian Yue Xu Fuyu Lv Shengyu Zhang Ziwen Jiang Qingwen Liu Xiaoyi Zeng Tat-Seng Chua Leilei Gan 95 17 0 23 Jun 2022
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work? Susanne Dandl Torsten Hothorn H. Seibold Erik Sverdrup Stefan Wager A. Zeileis CML 71 11 0 21 Jun 2022
Interpretable Deep Causal Learning for Moderation Effects A. Caron G. Baio I. Manolopoulou CML OOD 55 2 0 21 Jun 2022
Dynamic and heterogeneous treatment effects with abrupt changes Oscar Hernan Madrid Padilla Yi Yu CML 44 2 0 18 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 110 16 0 16 Jun 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 121 22 0 13 Jun 2022
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes Leon Yao Caroline Lo Israel Nir S. Tan Ariel Evnine Adam Lerer A. Peysakhovich CML 57 7 0 10 Jun 2022
Feature Selection for Discovering Distributional Treatment Effect Modifiers Yoichi Chikahara M. Yamada H. Kashima CML 51 5 0 01 Jun 2022
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects Naoufal Acharki Ramiro Lugo A. Bertoncello Josselin Garnier CML 70 13 0 29 May 2022
Robust and Agnostic Learning of Conditional Distributional Treatment Effects Nathan Kallus Miruna Oprescu OOD CML 122 12 0 23 May 2022
Neuroevolutionary Feature Representations for Causal Inference Michael C. Burkhart Gabriel Ruiz CML OOD 44 2 0 21 May 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus 76 23 0 20 May 2022
Searching for subgroup-specific associations while controlling the false discovery rate M. Sesia Tianshu Sun 85 0 0 17 May 2022
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign Henrika Langen M. Huber CML 46 13 0 22 Apr 2022
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles Aldo G. Carranza Sanath Kumar Krishnamurthy Susan Athey 48 1 0 30 Mar 2022
Calibration Error for Heterogeneous Treatment Effects Yizhe Xu Steve Yadlowsky 59 12 0 24 Mar 2022
Undersmoothing Causal Estimators with Generative Trees Damian Machlanski Spyridon Samothrakis Paul Clarke CML 104 1 0 16 Mar 2022
Estimating the average causal effect of intervention in continuous variables using machine learning Yoshiaki Kitazawa CML 41 1 0 08 Mar 2022
Minimax rates for heterogeneous causal effect estimation Edward H. Kennedy Sivaraman Balakrishnan James M. Robins Larry A. Wasserman CML 93 31 0 02 Mar 2022
Estimating causal effects with optimization-based methods: A review and empirical comparison Martin Cousineau V. Verter Susan Murphy J. Pineau CML 40 9 0 28 Feb 2022
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons C. Shi Shuang Luo Yuan Le Hongtu Zhu R. Song OffRL OnRL 74 12 0 26 Feb 2022
Ensemble Method for Estimating Individualized Treatment Effects K. Han Hanghao Wu CML FedML 37 4 0 25 Feb 2022
Differentially Private Estimation of Heterogeneous Causal Effects Fengshi Niu Harsha Nori B. Quistorff R. Caruana Donald Ngwe A. Kannan CML 93 14 0 22 Feb 2022
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression Masahiro Kato Masaaki Imaizumi CML OOD 72 1 0 10 Feb 2022
A nonparametric doubly robust test for a continuous treatment effect Charles R. Doss Guangwei Weng Lan Wang I. Moscovice T. Chantarat 51 2 0 07 Feb 2022
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance Gabriel Okasa CML 53 6 0 30 Jan 2022
Treatment Effect Risk: Bounds and Inference Nathan Kallus CML 147 17 0 15 Jan 2022
Non parametric estimation of causal populations in a counterfactual scenario Céline Beji Florian Yger Jamal Atif CML OOD 32 0 0 08 Dec 2021
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation Ramtin Keramati Omer Gottesman Leo Anthony Celi Finale Doshi-Velez Emma Brunskill OffRL 23 6 0 28 Nov 2021
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling Eustache Diemert Artem Betlei Christophe Renaudin Massih-Reza Amini T. Gregoir Thibaud Rahier CML 71 10 0 19 Nov 2021
Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects Steve Yadlowsky S. Fleming N. Shah Emma Brunskill Stefan Wager 55 65 0 15 Nov 2021
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection Rahul Singh 133 1 0 09 Nov 2021
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves Rahul Singh Liyuan Xu Arthur Gretton 126 3 0 06 Nov 2021
Improved inference for doubly robust estimators of heterogeneous treatment effects Hee-Choon Shin Joseph Antonelli 56 4 0 05 Nov 2021