Mr Peter Moskvichev
School of Mathematical Sciences
College of Science
Peter Moskvichev is a Master of Philosophy student at the School of Computer and Mathematical Sciences, University of Adelaide, with a broad interest in both the theory and applications of statistical data science.
My research goal is to create trustworthy AI with the help of uncertainy quantification of machine learning models. My current work looks at uncertainty calibration of probabilistic predictive models using kernel methods.
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2024 - 2026 | University of Adelaide | Australia | Master of Philosophy |
| 2021 - 2023 | University of Adelaide | Australia | Bachelor of Maths Sci. (Adv) |
| Year | Citation |
|---|---|
| 2026 | Moskvichev, P., & Sejdinovic, D. (2026). All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators. In Lecture Notes in Computer Science (Vol. 16370 LNAI, pp. 274-287). Springer Nature Singapore. DOI |
| Year | Citation |
|---|---|
| 2025 | Moskvichev, P., & Sejdinovic, D. (2025). All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators. |
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