Orthogonal Statistical Learning

25 January 2019

Papers citing "Orthogonal Statistical Learning"

46 / 46 papers shown

Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 58 3 0 05 Nov 2024
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 36 0 0 29 Sep 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 37 7 0 07 Jul 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 114 1 0 04 Jun 2024
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 35 0 0 26 May 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan OOD CML 77 2 0 07 May 2024
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis Tianyu Guo Sai Praneeth Karimireddy Michael I. Jordan FedML 38 1 0 24 Apr 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 67 1 0 22 Feb 2024
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Jan Rabenseifner Jan Teichert-Kluge Philipp Bach Victor Chernozhukov Martin Spindler Suhas Vijaykumar BDL CML 18 6 0 01 Feb 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid Milan Kuzmanovic Dennis Frauen Tobias Hatt Stefan Feuerriegel 32 7 0 30 Jan 2024
Causal Q-Aggregation for CATE Model Selection Hui Lan Vasilis Syrgkanis CML 42 4 0 25 Oct 2023
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 26 1 0 22 Sep 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 33 9 0 14 Jul 2023
The Fundamental Limits of Structure-Agnostic Functional Estimation Sivaraman Balakrishnan Edward H. Kennedy Larry A. Wasserman 30 11 0 06 May 2023
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 36 1 0 08 Mar 2023
Causal isotonic calibration for heterogeneous treatment effects L. Laan Ernesto Ulloa-Pérez M. Carone Alexander Luedtke 29 11 0 27 Feb 2023
Selective Uncertainty Propagation in Offline RL Sanath Kumar Krishnamurthy Shrey Modi Tanmay Gangwani S. Katariya B. Kveton A. Rangi OffRL 61 0 0 01 Feb 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 28 4 0 26 Jan 2023
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding Ashesh Rambachan Amanda Coston Edward H. Kennedy 19 4 0 19 Dec 2022
A Review of Off-Policy Evaluation in Reinforcement Learning Masatoshi Uehara C. Shi Nathan Kallus OffRL 36 69 0 13 Dec 2022
Nonparametric Estimation of Conditional Incremental Effects Alec McClean Zach Branson Edward H. Kennedy CML 26 8 0 07 Dec 2022
Meta-analysis of individualized treatment rules via sign-coherency Jay Jojo Cheng J. Huling Guanhua Chen 38 0 0 28 Nov 2022
Sensitivity Analysis for Marginal Structural Models Matteo Bonvini Edward H. Kennedy V. Ventura Larry A. Wasserman CML 30 13 0 10 Oct 2022
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency Wenlong Mou Martin J. Wainwright Peter L. Bartlett OffRL 39 11 0 26 Sep 2022
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models Rui Miao Zhengling Qi Xiaoke Zhang OffRL 30 10 0 21 Sep 2022
Learning from a Biased Sample Roshni Sahoo Lihua Lei Stefan Wager 27 17 0 05 Sep 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 38 15 0 17 Aug 2022
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes Miao Lu Yifei Min Zhaoran Wang Zhuoran Yang OffRL 57 22 0 26 May 2022
Robust and Agnostic Learning of Conditional Distributional Treatment Effects Nathan Kallus M. Oprescu CML OOD 35 10 0 23 May 2022
Fast Instrument Learning with Faster Rates Ziyu Wang Yuhao Zhou Jun Zhu 29 3 0 22 May 2022
Orthogonal Statistical Learning with Self-Concordant Loss Lang Liu Carlos Cinelli Zaïd Harchaoui 22 2 0 30 Apr 2022
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles Aldo G. Carranza Sanath Kumar Krishnamurthy Susan Athey 19 1 0 30 Mar 2022
Stability and Risk Bounds of Iterative Hard Thresholding Xiao-Tong Yuan P. Li 39 12 0 17 Mar 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 19 25 0 02 Mar 2022
Differentially Private Estimation of Heterogeneous Causal Effects Fengshi Niu Harsha Nori B. Quistorff R. Caruana Donald Ngwe A. Kannan CML 25 13 0 22 Feb 2022
A nonparametric doubly robust test for a continuous treatment effect Charles R. Doss Guangwei Weng Lan Wang I. Moscovice T. Chantarat 19 2 0 07 Feb 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 28 30 0 02 Feb 2022
Inverse-Weighted Survival Games Xintian Han Mark Goldstein A. Puli Thomas Wies A. Perotte Rajesh Ranganath OffRL 19 11 0 16 Nov 2021
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects Yao Zhang Jeroen Berrevoets M. Schaar CML 36 6 0 06 Aug 2021
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 40 31 0 20 Apr 2021
Conformal Inference of Counterfactuals and Individual Treatment Effects Lihua Lei Emmanuel J. Candès CML 21 189 0 11 Jun 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 11 310 0 29 Apr 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 43 32 0 19 Feb 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 25 25 0 30 Dec 2019
Learning without Concentration S. Mendelson 92 333 0 01 Jan 2014
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 791 0 19 Feb 2009