MCML - Past Events at the Munich Center for Machine Learning

17

Dec

Link to Part 2: Learning, Reasoning and Optimisation: Adversarial Robustness of Neural Networks

Munich AI Lectures • 17.12.2024 • Senatssaal, LMU Munich Geschwister-Scholl-Platz 1 Munich

5:30 pm - 7:00 pm

Part 2: Learning, Reasoning and Optimisation: Adversarial Robustness of Neural Networks

Holger Hoos, RWTH Aachen University

We are thrilled to invite you to the upcoming Munich AI Lecture featuring two distinguished researchers Prof. Holger Hoos from RWTH Aachen University and Prof. Franca Hoffmann from California Institute of Technology. The lecture is organized by the Chair of Mathematics of Information Processing with support by MCML.

Part 1: Dynamics of Strategic Agents and Algorithms as PDEs

Franca Hoffmann, California Institute of Technology

We are thrilled to invite you to the upcoming Munich AI Lecture featuring two distinguished researchers Prof. Holger Hoos from RWTH Aachen University and Prof. Franca Hoffmann from California Institute of Technology. The lecture is organized by the Chair of Mathematics of Information Processing with support by MCML.

On Optimal Treatment Regimes Assisted by Algorithms

Mats Julius Stensrud, Chair of Biostatistics, Swiss Federal Institute of Technology Lausanne

Decision makers desire to implement decision rules that, when applied to individuals in the population of interest, yield the best possible outcomes. For example, the current focus on precision medicine reflects the search for individualized treatment decisions, adapted to a patient’s characteristics. In this presentation, the speaker will consider …