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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)
Annual Graduate School in Mathematical Aspects of 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
  • ҲǰܲDz(ʹ),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:

Registration page:

More Information

Event Date
to Add to Calendar 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 public
Event location
Darwin, Australia