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Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms

International Conference on Artificial Intelligence and Statistics (AISTATS), 2021

26 January 2021

Papers citing "Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms"

50 / 118 papers shown

Title
Heterogeneous Multi-treatment Uplift Modeling for Trade-off Optimization in Short-Video Recommendation Chenhao Zhai Chang Meng Xueliang Wang Shuchang Liu Xiaolong Hu Shisong Tang Xiaoqiang Feng Xiu Li OffRL 202 0 0 24 Nov 2025
DeepBlip: Estimating Conditional Average Treatment Effects Over Time Haorui Ma Dennis Frauen Stefan Feuerriegel BDL 143 0 0 18 Nov 2025
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression Masahiro Kato CML 181 0 0 11 Nov 2025
Estimating Treatment Effects in Networks using Domain Adversarial Training Daan Caljon Jente Van Belle Wouter Verbeke CML 107 0 0 24 Oct 2025
Overlap-weighted orthogonal meta-learner for treatment effect estimation over time Konstantin Hess Dennis Frauen M. Schaar Stefan Feuerriegel 60 0 0 22 Oct 2025
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference Harry Amad Zhaozhi Qian Dennis Frauen Julianna Piskorz Stefan Feuerriegel Mihaela van der Schaar CML 131 1 0 21 Oct 2025
Meta-Router: Bridging Gold-standard and Preference-based Evaluations in Large Language Model Routing Yichi Zhang Fangzheng Xie Shu Yang Chong Wu 52 0 0 29 Sep 2025
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML 87 0 0 29 Sep 2025
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes Valentyn Melnychuk Stefan Feuerriegel 58 0 0 26 Sep 2025
CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks Alejandro Almodóvar Patricia A. Apellániz Santiago Zazo J. Parras CML 182 0 0 26 Sep 2025
A Systematic Review of Conformal Inference Procedures for Treatment Effect Estimation: Methods and Challenges Pascal Memmesheimer Vincent Heuveline Jürgen Hesser CML 61 0 0 25 Sep 2025
Counterfactual Probabilistic Diffusion with Expert Models Wenhao Mu Zhi Cao Mehmed Uludag Alexander Rodríguez DiffM 120 1 0 18 Aug 2025
Personalized Treatment Effect Estimation from Unstructured Data Henri Arno Thomas Demeester CML 102 0 0 28 Jul 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 82 0 0 04 Jul 2025
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding Yuchen Ma Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML 119 2 0 03 Jul 2025
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects Zhongyuan Liang L. Laan Ahmed Alaa 141 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 339 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 138 5 0 09 Jun 2025
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects Maresa Schröder Justin Hartenstein Stefan Feuerriegel 215 0 0 27 May 2025
A Distributionally Robust Framework for Nuisance in Causal Effect Estimation Akira Tanimoto 150 0 0 23 May 2025
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine Prateek Jaiswal Esmaeil Keyvanshokooh Junyu Cao 179 0 0 22 May 2025
PO-Flow: Flow-based Generative Models for Sampling Potential Outcomes and Counterfactuals Dongze Wu David I. Inouye Yao Xie 197 1 0 21 May 2025
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Dennis Frauen Maresa Schröder Konstantin Hess Stefan Feuerriegel CML 195 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 207 1 0 19 May 2025
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Xinran Song Tianyu Chen Mingyuan Zhou DiffM CML 210 0 0 16 May 2025
Forests for Differences: Robust Causal Inference Beyond Parametric DiD Hugo Gobato Souto Francisco Louzada Neto 132 0 0 14 May 2025
The Hardness of Validating Observational Studies with Experimental DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Jake Fawkes Michael O'Riordan Athanasios Vlontzos Oriol Corcoll Ciarán M. Gilligan-Lee 244 3 0 19 Mar 2025
Differentially Private Learners for Heterogeneous Treatment EffectsInternational Conference on Learning Representations (ICLR), 2025 Maresa Schröder Valentyn Melnychuk Stefan Feuerriegel CML 297 2 0 05 Mar 2025
Long-term Causal Inference via Modeling Sequential Latent Confounding Weilin Chen Ruichu Cai Yuguang Yan Zijian Li José Miguel Hernández-Lobato CML 389 1 0 26 Feb 2025
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination Weilin Chen Ruichu Cai Junjie Wan Zeqin Yang José Miguel Hernández-Lobato 314 2 0 26 Feb 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML OOD BDL 378 5 0 06 Feb 2025
A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient DataKnowledge Discovery and Data Mining (KDD), 2024 Seungyeon Lee Ruoqi Liu Feixiong Cheng Ping Zhang 150 2 0 31 Dec 2024
Constructing Confidence Intervals for Average Treatment Effects from Multiple DatasetsInternational Conference on Learning Representations (ICLR), 2024 Yuxin Wang Maresa Schröder Dennis Frauen Jonas Schweisthal Konstantin Hess Stefan Feuerriegel CML 409 5 0 16 Dec 2024
Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data Yi Zhang Melody Huang Kosuke Imai CML 261 2 0 15 Dec 2024
Estimating the treatment effect over time under general interference through deep learner integrated TMLE Suhan Guo Furao Shen Ni Li CML 299 0 0 06 Dec 2024
Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic AdaptationNeural Information Processing Systems (NeurIPS), 2024 Trenton Chang Lindsay Warrenburg Sae-Hwan Park Ravi B. Parikh Maggie Makar Jenna Wiens 286 4 0 02 Dec 2024
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 439 5 0 05 Nov 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 332 15 0 11 Oct 2024
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series Thomas Schwarz Cecilia Casolo Niki Kilbertus CML 241 0 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 298 208 0 11 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous TimeInternational Conference on Learning Representations (ICLR), 2024 Konstantin Hess Stefan Feuerriegel 423 3 0 04 Oct 2024
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification Michael Vollenweider Manuel Schürch Chiara Rohrer Gabriele Gut Michael Krauthammer Andreas Wicki CML 238 0 0 01 Oct 2024
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding Stefan Heytens Paloma Rabaey Thomas Demeester CML 337 2 0 23 Sep 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust AlgorithmNeural Information Processing Systems (NeurIPS), 2024 R. Teal Witter Christopher Musco 196 1 0 06 Sep 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Pengfei Shi Wei Zhong Xinyu Zhang Ningtao Wang Xing Fu Weiqiang Wang Yin Jin CML BDL 90 0 0 30 Aug 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 320 13 0 07 Jul 2024
Improve ROI with Causal Learning and Conformal Prediction Meng Ai Zhuo Chen Jibin Wang Jing Shang Tao Tao Zhen Li 186 2 0 01 Jul 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 375 0 0 25 Jun 2024
Enhancing predictive imaging biomarker discovery through treatment effect analysis Shuhan Xiao Lukas Klein Jens Petersen Philipp Vollmuth Paul F. Jaeger Klaus H. Maier-Hein 138 1 0 04 Jun 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments Jonas Schweisthal Dennis Frauen M. Schaar Stefan Feuerriegel CML 242 8 0 04 Jun 2024