Date & Time: Venue: | December 19, 2024, 13:00 |
Candidate: | Aleksandr Rubashevskii |
PhD Program: | Computational and Data Science and Engineering |
Thesis Title: | Efficient active learning and fact-checking via predictive uncertainty quantification for natural language processing |
Supervisor: | Assistant Professor Maxim Panov, Skoltech |
PhD Defense Jury Reports: | Professor Ivan Oseledets, Skoltech (Chairman): report |
PhD Defense Outcome: | The thesis is accepted “as is.” The candidate is awarded the Skoltech PhD degree. |