Active Learning for Decision-Making from Imbalanced Observational Data

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Active Learning for Decision-Making from Imbalanced Observational Data

10 April 2019

Peter F. Schulam

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Papers citing "Active Learning for Decision-Making from Imbalanced Observational Data"

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Title
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective Hechuan Wen Tong Chen Mingming Gong Li Kheng Chai S. Sadiq Hongzhi Yin CML 86 0 0 08 May 2025
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 87 36 0 17 Apr 2023
Sample Constrained Treatment Effect Estimation Raghavendra Addanki David Arbour Tung Mai Cameron Musco Anup B. Rao 49 7 0 12 Oct 2022
Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences Younghoon Kim Tao Wang Danyi Xiong Xinlei Wang S. Park 49 10 0 09 Aug 2022
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation Hongzhen Tian R. Cohen Chuck Zhang Yajun Mei 47 1 0 13 Jan 2022
Which images to label for few-shot medical landmark detection? Quan Quan Qingsong Yao Jun Li S. Kevin Zhou 98 25 0 07 Dec 2021
Targeted Active Learning for Bayesian Decision-Making Louis Filstroff Iiris Sundin P. Mikkola A. Tiulpin Juuso Kylmäoja Samuel Kaski 71 5 0 08 Jun 2021
On Statistical Bias In Active Learning: How and When To Fix It Sebastian Farquhar Y. Gal Tom Rainforth TDI HAI 60 85 0 27 Jan 2021
Task-Aware Variational Adversarial Active Learning Kwanyoung Kim Dongwon Park K. Kim S. Chun VLM OOD 60 145 0 11 Feb 2020
A Unifying Causal Framework for Analyzing Dataset Shift-stable Learning Algorithms Adarsh Subbaswamy Bryant Chen Suchi Saria OOD 57 18 0 27 May 2019