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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
Benchmarking for Deep Uplift Modeling in Online Marketing Dugang Liu Xing Tang Yang Qiao Miao Liu Zexu Sun Xiuqiang He Zhong Ming 245 2 0 01 Jun 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 422 6 0 20 May 2024
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisInternational Conference on Machine Learning (ICML), 2024 Daniel Csillag C. Struchiner G. Goedert OOD CML 188 3 0 15 May 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Yoichi Chikahara Kansei Ushiyama 356 0 0 26 Apr 2024
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation Roger Pros Jordi Vitrià CML 223 0 0 18 Apr 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs Ruoqi Liu Lingfei Wu Ping Zhang 148 3 0 06 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 258 1 0 05 Mar 2024
Defining Expertise: Applications to Treatment Effect Estimation Alihan Huyuk Qiyao Wei Alicia Curth M. Schaar CML 200 3 0 01 Mar 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
Federated Learning for Estimating Heterogeneous Treatment Effects Disha Makhija Joydeep Ghosh Yejin Kim CML FedML 352 3 0 27 Feb 2024
Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data Manuel Schürch Laura Boos V. Heinzelmann-Schwarz Gabriele Gut Michael Krauthammer Andreas Wicki Tumor Profiler Consortium 186 6 0 19 Feb 2024
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects Jef Jonkers Jarne Verhaeghe Glenn Van Wallendael Luc Duchateau Sofie Van Hoecke 681 5 0 07 Feb 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid Milan Kuzmanovic Dennis Frauen Tobias Hatt Stefan Feuerriegel 270 12 0 30 Jan 2024
Adversarial Distribution Balancing for Counterfactual Reasoning Stefan Schrod Fabian H. Sinz Michael Altenbuchinger OOD CML 219 1 0 28 Nov 2023
A Neural Framework for Generalized Causal Sensitivity AnalysisInternational Conference on Learning Representations (ICLR), 2023 Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 275 11 0 27 Nov 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 291 19 0 19 Nov 2023
Estimating treatment effects from single-arm trials via latent-variable modelingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Manuel Haussmann Tran Minh Son Le Viivi Halla-aho Samu Kurki Jussi Leinonen Miika Koskinen Samuel Kaski Harri Lähdesmäki CML 259 0 0 06 Nov 2023
Bayesian Neural Controlled Differential Equations for Treatment Effect EstimationInternational Conference on Learning Representations (ICLR), 2023 Konstantin Hess Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 225 22 0 26 Oct 2023
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression Masahiro Kato Masaaki Imaizumi CML 232 2 0 25 Oct 2023
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning S. Wei Xiangrui Kong Á. Xavier Shixiang Zhu Yao Xie Feng Qiu 225 2 0 05 Oct 2023
Uplift vs. predictive modeling: a theoretical analysis Théo Verhelst Robin Petit Wouter Verbeke Gianluca Bontempi 125 2 0 21 Sep 2023
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects Aaron Fisher CML 260 2 0 19 Jul 2023
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent RepresentationKnowledge Discovery and Data Mining (KDD), 2023 Bing Xue A. Said Ziqi Xu Hanyang Liu N. Shah Hanqing Yang Philip R. O. Payne Chenyang Lu 182 6 0 06 Jul 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over TimeInternational Conference on Machine Learning (ICML), 2023 Toon Vanderschueren Alicia Curth Wouter Verbeke M. Schaar 254 16 0 07 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity ModelNeural Information Processing Systems (NeurIPS), 2023 Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 477 13 0 02 Jun 2023
Explicit Feature Interaction-aware Uplift Network for Online MarketingKnowledge Discovery and Data Mining (KDD), 2023 Dugang Liu Xing Tang Han Gao Fuyuan Lyu Xiuqiang He 124 28 0 01 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity AnalysisNeural Information Processing Systems (NeurIPS), 2023 Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 332 25 0 26 May 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects EstimationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David Clifton 299 13 0 25 May 2023
Meta-learning for heterogeneous treatment effect estimation with closed-form solversMachine-mediated learning (ML), 2023 Tomoharu Iwata Yoichi Chikahara CML FedML 198 2 0 19 May 2023
Fair Off-Policy Learning from Observational DataInternational Conference on Machine Learning (ICML), 2023 Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 299 8 0 15 Mar 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Alicia Curth M. Schaar CML 164 5 0 23 Feb 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect EstimationInternational Conference on Machine Learning (ICML), 2023 Alicia Curth M. Schaar CML 235 34 0 06 Feb 2023
Zero-shot causal learningNeural Information Processing Systems (NeurIPS), 2023 H. Nilforoshan Michael Moor Yusuf Roohani Yining Chen Anja vSurina Michihiro Yasunaga Sara Oblak J. Leskovec CML BDL OffRL 238 17 0 28 Jan 2023
Meta-analysis of individualized treatment rules via sign-coherency Jay Jojo Cheng J. Huling Guanhua Chen 141 1 0 28 Nov 2022
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect Stanislav R. Kirpichenko Lev V. Utkin A. Konstantinov CML 259 0 0 19 Nov 2022
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessmentMachine-mediated learning (ML), 2022 Théo Verhelst Denis Mercier Jeevan Shrestha Gianluca Bontempi CML 132 3 0 14 Nov 2022
NESTER: An Adaptive Neurosymbolic Method for Causal Effect EstimationAAAI Conference on Artificial Intelligence (AAAI), 2022 Abbavaram Gowtham Reddy V. Balasubramanian CML 309 1 0 08 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 88 3 0 29 Oct 2022
Adversarial De-confounding in Individualised Treatment Effects EstimationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Vinod Kumar Chauhan Soheila Molaei Marzia Hoque Tania Anshul Thakur T. Zhu David Clifton CML 177 17 0 19 Oct 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects EstimationNeural Information Processing Systems (NeurIPS), 2022 Ioana Bica M. Schaar OOD CML 158 25 0 08 Oct 2022
A Survey of Deep Causal Models and Their Industrial ApplicationsArtificial Intelligence Review (Artif Intell Rev), 2022 Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 501 16 0 19 Sep 2022
Normalizing Flows for Interventional Density EstimationInternational Conference on Machine Learning (ICML), 2022 Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 414 23 0 13 Sep 2022
Estimating individual treatment effects under unobserved confounding using binary instrumentsInternational Conference on Learning Representations (ICLR), 2022 Dennis Frauen Stefan Feuerriegel CML 312 24 0 17 Aug 2022
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression A. Konstantinov Stanislav R. Kirpichenko Lev V. Utkin CML 179 5 0 19 Jul 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of InterpretabilityNeural Information Processing Systems (NeurIPS), 2022 Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 264 22 0 16 Jun 2022
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effectsInternational Conference on Machine Learning (ICML), 2022 Naoufal Acharki Ramiro Lugo A. Bertoncello Josselin Garnier CML 219 16 0 29 May 2022
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage Alexis Bellot Anish Dhir G. Prando CML 161 12 0 29 May 2022
Causal Machine Learning for Healthcare and Precision MedicineRoyal Society Open Science (RSOS), 2022 Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 299 173 0 23 May 2022
Causal Transformer for Estimating Counterfactual OutcomesInternational Conference on Machine Learning (ICML), 2022 Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 231 129 0 14 Apr 2022
Experimental Standards for Deep Learning in Natural Language Processing ResearchConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Dennis Ulmer Elisa Bassignana Max Müller-Eberstein Daniel Varab Mike Zhang Rob van der Goot Christian Hardmeier Barbara Plank 248 12 0 13 Apr 2022