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Regression

2022

  • Semi-supervised Active Linear Regression. [pdf]
    • Nived Rajaraman, Fnu Devvrit, Pranjal Awasthi. Neurips 2022

2018

  • Minimax-optimal semi-supervised regression on unknown manifolds. [pdf]

    • Amit Moscovich, Ariel Jaffe, Nadler Boaz. AISTATS 2017
  • Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance. [pdf] [code]

    • Neal Jean, Sang Michael Xie, Stefano Ermon. NeurIPS 2018

2017

  • Learning Safe Prediction for Semi-Supervised Regression. [pdf]
    • Yu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou. AAAI 2017

2015

  • Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data. [pdf]
    • Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Ga ̈el Varoquaux. NeurIPS 2015