- Semi-supervised Active Linear Regression.
[pdf]
- Nived Rajaraman, Fnu Devvrit, Pranjal Awasthi. Neurips 2022
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Minimax-optimal semi-supervised regression on unknown manifolds. [pdf]
- Amit Moscovich, Ariel Jaffe, Nadler Boaz. AISTATS 2017
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Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance. [pdf] [code]
- Neal Jean, Sang Michael Xie, Stefano Ermon. NeurIPS 2018
- Learning Safe Prediction for Semi-Supervised Regression.
[pdf]
- Yu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou. AAAI 2017
- Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data.
[pdf]
- Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Ga 虉el Varoquaux. NeurIPS 2015