Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation

2 February 2022

Papers citing "Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation"

24 / 24 papers shown

Title
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 70 0 0 07 Feb 2025
DAG-aware Transformer for Causal Effect Estimation Manqing Liu David R. Bellamy Andrew L. Beam CML 21 3 0 13 Oct 2024
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation Christopher Bockel-Rickermann Toon Vanderschueren Tim Verdonck Wouter Verbeke CML 22 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 26 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 21 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 27 1 0 02 Jun 2024
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder Seungyeon Lee Ruoqi Liu Wenyu Song Ping Zhang CML 13 0 0 30 Jan 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing Lokesh Nagalapatti Akshay Iyer Abir De Sunita Sarawagi CML 20 6 0 27 Jan 2024
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification Seungyeon Lee Ruoqi Liu Wenyu Song Lang Li Ping Zhang CML 15 0 0 22 Jan 2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation Amirreza Kazemi Martin Ester CML OOD 22 3 0 17 Dec 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 R. Li Tianming Liu Xiang Li CML OOD 53 2 0 03 Jul 2023
Counterfactual Generative Models for Time-Varying Treatments Shenghao Wu Wen-liang Zhou Minshuo Chen Shixiang Zhu DiffM CML 16 6 0 25 May 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation Yi-Fan Zhang Xue Wang Kexin Jin Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OOD 8 42 0 25 Apr 2023
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine Evgeny S. Saveliev M. Schaar 16 4 0 28 Jan 2023
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect Stanislav R. Kirpichenko Lev V. Utkin A. Konstantinov CML 14 0 0 19 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 26 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 14 3 0 23 Sep 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 19 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 14 3 0 19 Jul 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 15 15 0 16 Jun 2022
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features Haohan Wang Zeyi Huang Hanlin Zhang Yong Jae Lee Eric P. Xing OOD 122 16 0 05 Nov 2021
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 166 50 0 03 Jun 2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification Yi-Fan Zhang Zhang Zhang Da Li Zhen Jia Liang Wang T. Tan OOD 8 40 0 29 Mar 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 207 718 0 12 May 2016