Aminian, Gholamali;
Abroshan, Mahed;
Khalili, Mohammad Mahdi;
Toni, Laura;
Rodrigues, Miguel RD;
(2022)
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift.
In: Camps-Valls, G and Ruiz, FJR and Valera, I, (eds.)
International Conference on Artificial Intelligence and Statistics.
Journal Machine Learning Research (JMLR)
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| Type: | Proceedings paper |
|---|---|
| Title: | An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift |
| Event: | International Conference on Artificial Intelligence and Statistics |
| Location: | ELECTR NETWORK |
| Dates: | 28 Mar 2022 - 30 Mar 2022 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://proceedings.mlr.press/v151/ |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Physical Sciences, Computer Science, Artificial Intelligence, Statistics & Probability, Computer Science, Mathematics, INFERENCE |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10158620 |
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