Learning Weighted Representations for Generalization Across Designs

23 February 2018

Papers citing "Learning Weighted Representations for Generalization Across Designs"

20 / 20 papers shown

Title
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects Praharsh Nanavati Ranjitha Prasad Karthikeyan Shanmugam OOD CML 68 0 0 29 Apr 2025
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Hangtao Zhang Zhe Li Kaipeng Zhang 31 0 0 26 Apr 2025
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 34 9 0 19 Nov 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 76 2 0 16 Oct 2023
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference Yonghe Zhao Q. Huang Siwei Wu Yun Peng H. Sun BDL CML 21 0 0 02 Aug 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Alicia Curth M. Schaar CML 34 3 0 23 Feb 2023
Deep Causal Learning for Robotic Intelligence Yong Li CML 44 5 0 23 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 41 11 0 07 Nov 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation Ioana Bica M. Schaar OOD CML 38 20 0 08 Oct 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies Shachi Deshpande Kaiwen Wang Dhruv Sreenivas Zheng Li Volodymyr Kuleshov CML SyDa 21 11 0 18 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 52 29 0 25 Feb 2022
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 30 30 0 26 Oct 2021
A Review of Generalizability and Transportability Irina Degtiar Sherri Rose CML 34 213 0 23 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 45 129 0 23 Feb 2021
Learning Optimal Distributionally Robust Individualized Treatment Rules Weibin Mo Zhengling Qi Yufeng Liu 39 47 0 26 Jun 2020
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 28 16 0 14 Feb 2019
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 22 91 0 05 Oct 2018
Representation Balancing MDPs for Off-Policy Policy Evaluation Yao Liu Omer Gottesman Aniruddh Raghu Matthieu Komorowski A. Faisal Finale Doshi-Velez Emma Brunskill OffRL 11 75 0 23 May 2018
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 722 0 12 May 2016
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 793 0 19 Feb 2009