Andreas Mang Department of Mathematics, University of Houston

This one week summer school focusses on topics related to Computational and mAthematical MEthods in machine LEarning, Optimization and iNference (ChAMELEON).

This first installment will introduce participants to mathematical techniques at the intersection of machine learning, inverse problems, and statistical inference, with an emphasis on numerical aspects. Mornings will include lectures that provide a foundational understanding of the field. Students will learn state-of-the-art approaches for solving both deterministic and statistical inverse problems of varying complexity. In the afternoons, participants will engage in hands-on assignments to gain practical experience. They will learn how to execute code on a modern high-performance computing architecture.

The conference will also feature research talks by leading scientist in the field. Depending on interest, there will also be the possibility to present research results during a poster session.

More information about the first edition of this summer school can be found here: https://andreasmang.github.io/chameleonline