Theory of Modern AI: Learning Theoretic, Game Theoretic, and Algorithmic Perspectives @SimonsInstitute

Theory of Modern AI: Learning Theoretic, Game Theoretic, and Algorithmic Perspectives @SimonsInstitute

Uploaded May 2026 | Updated September 2026, 1 week ago

Nina Balcan (Carnegie Mellon University)
https://simons.berkeley.edu/talks/nina-balcan-carnegie-mellon-university-2026-05-26
The Role of TCS in Modern Machine Learning

Theory of Modern AI: Learning Theoretic, Game Theoretic, and Algorithmic Perspectives

Federated Learning in the Generative AI Era

Toward Provably Private Federated Learning

Talk by Adria Gascon (Google)

Henriette Canino and Héctor Corzo (California Council on Science & Technology)

The Conscious Turing Machine (CTM): a Theoretical Computer Science Examination of Consciousness.

Distributional Diffusion Models

Talk by Katrina Ligett (Hebrew University of Jerusalem)

Do AI Systems Have World Models? Probing Reasoning, Forecasting, and Generalization

Gap Amplification for Local Hamiltonians with Combinatorial Soundness

The Magic of Ruzsa-Szemeredi Graphs

Talk by Jacob Andreas (Massachusetts Institute of Technology)

Simons Institute for the Theory of Computing |

Theory of Modern AI: Learning Theoretic, Game Theoretic, and Algorithmic Perspectives