Annual Graduate School in Mathematical Aspects of Data Science
Annual Graduate School in Mathematical Aspects of Data Science
The Annual Graduate School in Mathematical Aspects of Data Science will be held in Darwin, Australia from June 24-28 (https://maths.anu.edu.au/news-events/events/annual-graduate-school-mathematical-aspects-data-science)
The annual global mathematics of data science school series is intended to give graduate students and early career researchers exposure to high-quality modern research on the mathematical foundations of data science – showing them that data science is a truly exciting mathematical research area.
The first school in this series will be held in Darwin, Australia from June 24-28.
List of speakers/topics:
- Peter Bartlett (Berkeley), Topics in Statistical Learning Theory
- Subhro Ghosh (NUS), Learning Under Latent Symmetries
- Gabor Lugosi (UPF), Concentration Inequalities
- Shahar Mendelson (ANU), The Small-Ball Method and its Applications
- Jonathan Scarlett (NUS), Statistical Lower Bounds for Estimation and Learning
- Nikita Zhivotovskiy (Berkeley), Exponential Weights Algorithms
Further details: Click here
Registration page: Click here
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2024-06-24 00:00:00
2024-06-28 00:00:00
Annual Graduate School in Mathematical Aspects of Data Science
The Annual Graduate School in Mathematical Aspects of Data Science will be held in Darwin, Australia from June 24-28 (https://maths.anu.edu.au/news-events/events/annual-graduate-school-mathematical-aspects-data-science)
Darwin, Australia
America/New_York
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Darwin, Australia
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