recent developements in the mathematics of machine learning

Program

Program

Conference Program (Tuesday, 26 March 2024)

 

 

08:45 - 09:30:

Prof. Dr. Damir Filipović

  • Kernel density machines

 

09:30 - 10:15:

Prof. Dr. Lyudmila Grigoryeva

  • Reservoir kernels and Volterra series

 

10:15 - 10:45:

  • Coffee Break

 

10:45 - 11:30:

Dr. Lukas Gonon

  • Expressivity of random/quantum neural networks

 

11:30 - 12:15:

Prof. Dr. Christa Cuchiero

  • Global universal approximation of functional input maps on weighted spaces

 

12:15 - 13:45:

  • Lunch Break

 

13:45 - 14:30:

Prof. Dr. Thorsten Schmidt

  • Regulation of Artificial Intelligence

 

14:30 - 15:15:

Prof. Dr. Eduardo Abi Jaber

  • Deep pricing with quantization hints: joint SPX-VIX calibration with Gaussian Polynomial Models

 

15:15 - 15:45:

  • Coffee Break

 

15:45 - 16:30:

Prof. Dr. Arnulf Jentzen

  • Overcoming the curse of dimensionality: from nonlinear Monte Carlo to the training of neural networks

 

16:30 - 17:15:

Prof. Dr. Josef Teichmann

  • Machine Learning for Ergodic Robust optimal growth Problems

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