VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments

14 March 2021

Papers citing "VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments"

45 / 45 papers shown

Title
MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects Juhua Chen Karson shi Jialing He North Chen Kele Jiang CML 39 0 0 02 Apr 2025
Differentially Private Learners for Heterogeneous Treatment Effects Maresa Schröder Valentyn Melnychuk Stefan Feuerriegel CML 72 0 0 05 Mar 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 81 0 0 07 Feb 2025
Causal machine learning for predicting treatment outcomes Stefan Feuerriegel Dennis Frauen Valentyn Melnychuk J. Schweisthal Konstantin Hess Alicia Curth Stefan Bauer Niki Kilbertus Isaac S. Kohane Mihaela van der Schaar CML 24 91 0 11 Oct 2024
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression Anpeng Wu Kun Kuang Ruoxuan Xiong Xiangwei Chen Zexu Sun Fei Wu Kun Zhang CML 27 0 0 10 Aug 2024
Causal Inference with Complex Treatments: A Survey Yingrong Wang Haoxuan Li Minqin Zhu Anpeng Wu Ruoxuan Xiong Fei Wu Kun Kuang CML 48 1 0 19 Jul 2024
New User Event Prediction Through the Lens of Causal Inference H. Yuchi Shixiang Zhu Li Dong Yigit M. Arisoy Matthew C. Spencer 40 0 0 08 Jul 2024
Conformal Prediction for Causal Effects of Continuous Treatments Maresa Schröder Dennis Frauen J. Schweisthal Konstantin Heß Valentyn Melnychuk Stefan Feuerriegel 50 7 0 03 Jul 2024
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation Christopher Bockel-Rickermann Toon Vanderschueren Tim Verdonck Wouter Verbeke CML 40 0 0 12 Jun 2024
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML OOD 46 1 0 06 Jun 2024
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation Ruijing Cui Jianbin Sun Bingyu He Kewei Yang Bingfeng Ge 33 0 0 04 Jun 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation Yinjun Wu Mayank Keoliya Kan Chen Neelay Velingker Ziyang Li E. Getzen Qi Long Mayur Naik Ravi B. Parikh Eric Wong 47 1 0 02 Jun 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning Weilin Chen Ruichu Cai Zeqin Yang Jie Qiao Yuguang Yan Zijian Li Zhifeng Hao CML 42 7 0 06 May 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation Minqin Zhu Anpeng Wu Haoxuan Li Ruoxuan Xiong Bo Li ... Xuan Qin Peng Zhen Jiecheng Guo Fei Wu Kun Kuang CML 47 10 0 21 Mar 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects Yingrong Wang Anpeng Wu Haoxuan Li Weiming Liu Qiaowei Miao Ruoxuan Xiong Fei Wu Kun Kuang 42 0 0 05 Mar 2024
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder Seungyeon Lee Ruoqi Liu Wenyu Song Ping Zhang CML 26 0 0 30 Jan 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid Milan Kuzmanovic Dennis Frauen Tobias Hatt Stefan Feuerriegel 32 6 0 30 Jan 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing Lokesh Nagalapatti Akshay Iyer Abir De Sunita Sarawagi CML 27 7 0 27 Jan 2024
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification Seungyeon Lee Ruoqi Liu Wenyu Song Lang Li Ping Zhang CML 32 0 0 22 Jan 2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation Amirreza Kazemi Martin Ester CML OOD 37 3 0 17 Dec 2023
SpaCE: The Spatial Confounding Environment Mauricio Tec A. Trisovic Michelle Audirac Sophie Woodward Jie Kate Hu N. Khoshnevis Francesca Dominici CML 37 3 0 01 Dec 2023
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions Christopher Bockel-Rickermann Sam Verboven Tim Verdonck Wouter Verbeke CML 29 1 0 07 Sep 2023
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference Haixing Dai Mengxuan Hu Qing Li Lu Zhang Lin Zhao ... Manhua Liu Quanzheng Li Sheng Li Tianming Liu Xiang Li CML OOD 68 2 0 03 Jul 2023
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding Myrl G. Marmarelis Greg Ver Steeg Aram Galstyan Fred Morstatter CML OOD 16 5 0 15 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations J. Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 26 11 0 31 May 2023
Counterfactual Prediction Under Outcome Measurement Error Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu 29 15 0 22 Feb 2023
Causal Estimation of Exposure Shifts with Neural Networks: Evaluating the Health Benefits of Stricter Air Quality Standards in the US Mauricio Tec Oladimeji Mudele K. Josey Francesca Dominici CML OOD 26 0 0 06 Feb 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng Li CML OOD 35 8 0 02 Feb 2023
Deep Causal Learning for Robotic Intelligence Yong Li CML 37 5 0 23 Dec 2022
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect Stanislav R. Kirpichenko Lev V. Utkin A. Konstantinov CML 21 0 0 19 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions V. T. Trifunov M. Shadaydeh Joachim Denzler CML BDL 26 3 0 23 Sep 2022
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 32 7 0 19 Sep 2022
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 50 18 0 13 Sep 2022
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation Anpeng Wu Kun Kuang Ruoxuan Xiong Minqing Zhu Yuxuan Liu Bo Li Furui Liu Zhihua Wang Fei Wu CML 30 7 0 23 Aug 2022
Domain-Specific Risk Minimization for Out-of-Distribution Generalization Yi-Fan Zhang Jindong Wang Jian Liang Zhang Zhang Baosheng Yu Liangdao Wang Dacheng Tao Xingxu Xie OOD 24 16 0 18 Aug 2022
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression A. Konstantinov Stanislav R. Kirpichenko Lev V. Utkin CML 27 3 0 19 Jul 2022
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects Naoufal Acharki Ramiro Lugo A. Bertoncello Josselin Garnier CML 26 11 0 29 May 2022
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage Alexis Bellot Anish Dhir G. Prando CML 18 11 0 29 May 2022
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions Andrew Jesson A. Douglas P. Manshausen Maelys Solal N. Meinshausen P. Stier Y. Gal Uri Shalit CML 23 26 0 21 Apr 2022
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace Shu Wan Chen Zheng Zhonggen Sun Mengfan Xu Xiaoqing Yang Hong-Tu Zhu Jiecheng Guo 31 7 0 21 Mar 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 24 29 0 02 Feb 2022
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation M. T. Bahadori E. T. Tchetgen David Heckerman CML 11 15 0 27 Jul 2021
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 177 50 0 03 Jun 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016