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Orthogonal Statistical Learning

25 January 2019

Papers citing "Orthogonal Statistical Learning"

29 / 129 papers shown

Title
A nonparametric doubly robust test for a continuous treatment effectAnnals of Statistics (Ann. Stat.), 2022 Charles R. Doss Guangwei Weng Lan Wang I. Moscovice T. Chantarat 150 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 331 33 0 02 Feb 2022
Empirical Estimates on Hand Manipulation are Recoverable: A Step Towards Individualized and Explainable Robotic Support in Everyday ActivitiesAdaptive Agents and Multi-Agent Systems (AAMAS), 2022 Alexander Wich Holger Schultheis Michael Beetz CML 71 2 0 27 Jan 2022
Inverse-Weighted Survival GamesNeural Information Processing Systems (NeurIPS), 2021 Xintian Han Mark Goldstein A. Puli Thomas Wies A. Perotte Rajesh Ranganath OffRL 281 12 0 16 Nov 2021
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves Rahul Singh Liyuan Xu Arthur Gretton 426 5 0 06 Nov 2021
Sparsity in Partially Controllable Linear SystemsInternational Conference on Machine Learning (ICML), 2021 Yonathan Efroni Sham Kakade A. Krishnamurthy Cyril Zhang 288 13 0 12 Oct 2021
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal EffectsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Yao Zhang Jeroen Berrevoets M. Schaar CML 271 6 0 06 Aug 2021
Semiparametric Estimation of Long-Term Treatment EffectsJournal of Econometrics (JE), 2021 Jiafeng Chen David M. Ritzwoller 390 22 0 30 Jul 2021
Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts Sukjin Han Erica Schulman Kristen Grauman Santhosh Kumar Ramakrishnan 207 6 0 06 Jul 2021
On Inductive Biases for Heterogeneous Treatment Effect EstimationNeural Information Processing Systems (NeurIPS), 2021 Alicia Curth M. Schaar CML 335 99 0 07 Jun 2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy LearningNeural Information Processing Systems (NeurIPS), 2021 Aurélien F. Bibaut Antoine Chambaz Maria Dimakopoulou Nathan Kallus Mark van der Laan OffRL 166 17 0 03 Jun 2021
Causally motivated Shortcut Removal Using Auxiliary LabelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Maggie Makar Ben Packer D. Moldovan Davis W. Blalock Yoni Halpern Alexander DÁmour OOD CML 233 82 0 13 May 2021
Automatic Debiased Machine Learning via Riesz Regression Victor Chernozhukov Whitney Newey Victor Quintas-Martinez Vasilis Syrgkanis OOD CML 272 22 0 30 Apr 2021
Knowledge Distillation as Semiparametric InferenceInternational Conference on Learning Representations (ICLR), 2021 Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 186 34 0 20 Apr 2021
Agnostic learning with unknown utilitiesInformation Technology Convergence and Services (ITCS), 2021 Kush S. Bhatia Peter L. Bartlett Anca Dragan Jacob Steinhardt FedML 99 2 0 17 Apr 2021
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 AmirEmad Ghassami Andrew Ying I. Shpitser E. T. Tchetgen 254 47 0 07 Apr 2021
Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach Nathan Kallus Xiaojie Mao Masatoshi Uehara CML 333 73 0 25 Mar 2021
Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension Rahul Singh CML 266 9 0 22 Feb 2021
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional ConfoundersAnnals of Statistics (Ann. Stat.), 2020 Yuhao Wang Rajen Dinesh Shah 340 18 0 17 Nov 2020
Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning TheoryMathematics of Operations Research (MOR), 2020 Yunbei Xu A. Zeevi 409 21 0 12 Nov 2020
Deep Learning for Individual Heterogeneity M. Farrell Tengyuan Liang S. Misra BDL 331 17 0 28 Oct 2020
Conformal Inference of Counterfactuals and Individual Treatment Effects Lihua Lei Emmanuel J. Candès CML 453 224 0 11 Jun 2020
Towards optimal doubly robust estimation of heterogeneous causal effectsElectronic Journal of Statistics (EJS), 2020 Edward H. Kennedy CML 533 408 0 29 Apr 2020
Strength from Weakness: Fast Learning Using Weak SupervisionInternational Conference on Machine Learning (ICML), 2020 Joshua Robinson Stefanie Jegelka S. Sra 207 35 0 19 Feb 2020
Double/Debiased Machine Learning for Dynamic Treatment Effects via g-EstimationNeural Information Processing Systems (NeurIPS), 2020 Greg Lewis Vasilis Syrgkanis CML 332 45 0 17 Feb 2020
Estimating heterogeneous treatment effects with right-censored data via causal survival forests Yifan Cui Michael R. Kosorok Erik Sverdrup Stefan Wager Ruoqing Zhu CML 199 95 0 27 Jan 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and BeyondJournal of machine learning research (JMLR), 2019 Nathan Kallus Xiaojie Mao Masatoshi Uehara 280 36 0 30 Dec 2019
Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models Denis Nekipelov Vira Semenova Vasilis Syrgkanis 350 22 0 13 Jun 2018
Selective inference for effect modification via the lasso Qingyuan Zhao Dylan S. Small Ashkan Ertefaie CML 274 52 0 22 May 2017