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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)

• Inductive reasoning and the foundations of ML (Sep 2014)

and lecture notes:

• Online learning and games (Nov 2015)