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Orthogonal Statistical Learning

25 January 2019

Papers citing "Orthogonal Statistical Learning"

50 / 129 papers shown

Title
Asymptotic Theory and Phase Transitions for Variable Importance in Quantile Regression Forests Tomoshige Nakamura Hiroshi Shiraishi 53 0 0 28 Nov 2025
DeepBlip: Estimating Conditional Average Treatment Effects Over Time Haorui Ma Dennis Frauen Stefan Feuerriegel BDL 175 0 0 18 Nov 2025
Policy Learning with Abstention Ayush Sawarni Jikai Jin Justin Whitehouse Vasilis Syrgkanis OffRL 257 0 0 22 Oct 2025
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes Emil Javurek Valentyn Melnychuk Jonas Schweisthal Konstantin Hess Dennis Frauen Stefan Feuerriegel 112 0 0 30 Sep 2025
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML 123 0 0 29 Sep 2025
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes Valentyn Melnychuk Stefan Feuerriegel 66 0 0 26 Sep 2025
Debiased Front-Door Learners for Heterogeneous Effects Yonghan Jung CML 73 0 0 26 Sep 2025
Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning Yuanchen Wu Yubai Yuan CML 157 1 0 23 Sep 2025
DoubleGen: Debiased Generative Modeling of Counterfactuals Alex Luedtke Kenji Fukumizu 101 1 0 20 Sep 2025
Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery Zilong Wang Turgay Ayer Shihao Yang CML 105 0 0 06 Sep 2025
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data R. Karlsson Piersilvio De Bartolomeis Issa J. Dahabreh Jesse H. Krijthe CML 118 0 0 04 Jul 2025
Estimation of Treatment Effects in Extreme and Unobserved Data Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 110 0 0 16 Jun 2025
Foundation Models for Causal Inference via Prior-Data Fitted Networks Yuchen Ma Dennis Frauen Emil Javurek Stefan Feuerriegel CML AI4CE 403 7 0 12 Jun 2025
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning Vahid Balazadeh Hamidreza Kamkari Valentin Thomas Benson Li Junwei Ma Jesse C. Cresswell Rahul G. Krishnan CML 186 5 0 09 Jun 2025
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects Maresa Schröder Justin Hartenstein Stefan Feuerriegel 291 1 0 27 May 2025
TabPFN: One Model to Rule Them All? Qiong Zhang Yan Shuo Tan Qinglong Tian Pengfei Li 206 5 0 26 May 2025
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Dennis Frauen Maresa Schröder Konstantin Hess Stefan Feuerriegel CML 227 2 0 19 May 2025
Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Mihaela van der Schaar Stefan Feuerriegel CML 244 2 0 19 May 2025
Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction Maximilian Schuessler Erik Sverdrup Robert Tibshirani CML 342 0 0 01 May 2025
Differentially Private Learners for Heterogeneous Treatment EffectsInternational Conference on Learning Representations (ICLR), 2025 Maresa Schröder Valentyn Melnychuk Stefan Feuerriegel CML 309 3 0 05 Mar 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML OOD BDL 426 4 0 06 Feb 2025
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal LearnerNeural Information Processing Systems (NeurIPS), 2024 Valentyn Melnychuk Stefan Feuerriegel Mihaela van der Schaar CML 467 5 0 05 Nov 2024
Training and Evaluating Causal Forecasting Models for Time-Series Thomas Crasson Yacine Nabet Mathias Lécuyer CML AI4TS 313 1 0 31 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomesNeural Information Processing Systems (NeurIPS), 2024 Yuchen Ma Valentyn Melnychuk Jonas Schweisthal Stefan Feuerriegel DiffM 360 15 0 11 Oct 2024
Causal machine learning for predicting treatment outcomesNature Network Boston (NNB), 2024 Stefan Feuerriegel Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Konstantin Hess Alicia Curth Stefan Bauer Niki Kilbertus Isaac S. Kohane Mihaela van der Schaar CML 322 220 0 11 Oct 2024
Automatic debiasing of neural networks via moment-constrained learningCLEaR (CLEaR), 2024 Christian L. Hines Oliver J. Hines CML OOD 354 1 0 29 Sep 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 142 1 0 13 Aug 2024
Causal inference through multi-stage learning and doubly robust deep neural networks Yuqian Zhang Jelena Bradic OOD CML 216 2 0 11 Jul 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 376 13 0 07 Jul 2024
Structured Difference-of-Q via Orthogonal Learning Defu Cao Angela Zhou 334 0 0 12 Jun 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data Miruna Oprescu Nathan Kallus CML 193 1 0 10 Jun 2024
Heterogeneous Treatment Effects in Panel Data R. Levi Elisabeth Paulson Georgia Perakis Emily Zhang CML 140 0 0 09 Jun 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments Jonas Schweisthal Dennis Frauen M. Schaar Stefan Feuerriegel CML 258 8 0 04 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 367 3 0 04 Jun 2024
Contextual Linear Optimization with Partial Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 369 0 0 26 May 2024
Taking a Moment for Distributional Robustness Jabari Hastings Christopher Jung Charlotte Peale Vasilis Syrgkanis OOD 189 2 0 08 May 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance LearningAnnals of Statistics (Ann. Stat.), 2024 Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan OOD CML 694 4 0 07 May 2024
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty Kaizhao Liu Jose H. Blanchet Lexing Ying Yiping Lu 288 1 0 29 Apr 2024
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis Tianyu Guo Sai Praneeth Karimireddy Michael I. Jordan FedML 242 4 0 24 Apr 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes Andrew Bennett Nathan Kallus Miruna Oprescu Wen Sun Kaiwen Wang AAML OffRL 222 2 0 29 Mar 2024
Regularized DeepIV with Model Selection Zihao Li Hui Lan Vasilis Syrgkanis Mengdi Wang Masatoshi Uehara 210 4 0 07 Mar 2024
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 278 47 0 04 Mar 2024
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions Raj Agrawal Sam Witty Andy Zane Eli Bingham 264 3 0 29 Feb 2024
Unveiling the Potential of Robustness in Evaluating Causal Inference Models Yiyan Huang Cheuk Hang Leung Siyi Wang Yijun Li Qi Wu OOD CML 168 1 0 28 Feb 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 492 6 0 22 Feb 2024
Causal hybrid modeling with double machine learning Kai-Hendrik Cohrs Gherardo Varando Nuno Carvalhais Markus Reichstein Gustau Camps-Valls 397 15 0 20 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 156 10 0 01 Feb 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid Milan Kuzmanovic Dennis Frauen Tobias Hatt Stefan Feuerriegel 266 12 0 30 Jan 2024
Accelerating Causal Algorithms for Industrial-scale Data: A Distributed Computing Approach with Ray FrameworkInternational Conference on AI-ML-Systems (ICA), 2023 Vishal Verma Vinod Reddy Jaiprakash Ravi 152 1 0 22 Jan 2024
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning ApproachTransportation Research Part C: Emerging Technologies (TRC), 2024 Shuang Li Ziyuan Pu Zhiyong Cui Seunghyeon Lee Xiucheng Guo D. Ngoduy CML 134 21 0 01 Jan 2024