An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift

Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues. An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. In Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. Volume 151 of Proceedings of Machine Learning Research, pages 7433-7449, PMLR, 2022. [doi]

@inproceedings{AminianAKTR22,
  title = {An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift},
  author = {Gholamali Aminian and Mahed Abroshan and Mohammad Mahdi Khalili and Laura Toni and Miguel R. D. Rodrigues},
  year = {2022},
  url = {https://proceedings.mlr.press/v151/aminian22a.html},
  researchr = {https://researchr.org/publication/AminianAKTR22},
  cites = {0},
  citedby = {0},
  pages = {7433-7449},
  booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event},
  editor = {Gustau Camps-Valls and Francisco J. R. Ruiz and Isabel Valera},
  volume = {151},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}