David Balduzzi: dbalduzzi at gmail cv
I work on machine learning at XTX Markets. We are hiring.
My PhD was in representation theory and algebraic geometry at the University of Chicago. After that I worked on computational neuroscience at UW-Madison and machine learning at the MPI for Intelligent Systems, ETH Zürich, Victoria University Wellington and DeepMind.
Here are some slides:
Designing learning dynamics (NeurIPS tutorial w/ M Garnelo and W Czarnecki, Dec 2020)
Composition, learning, and games (NeurIPS workshop "Bridging game theory and deep learning", Dec 2019)
Open-ended learning in games (Mar 2019)
Gradients in games (Mar 2018)
Gradient descent in neural networks (Aug 2017)
Game theory for neural networks (Dec 2015)
and lecture notes:
Online learning and games (Nov 2015)