A Perceptron Trio - Computational vs Statistical Gaps in Learning and Optimization

A Perceptron Trio - Computational vs Statistical Gaps in Learning and Optimization

Explore a thought-provoking lecture on perceptron algorithms presented by Matus Telgarsky from the Courant Institute of Mathematical Sciences. Delve into the intricacies of "A Perceptron Trio" as part of IPAM's EnCORE Workshop on Computational vs Statistical Gaps in Learning and Optimization. Recorded on February 28, 2024, at the Institute for Pure & Applied Mathematics (IPAM) at UCLA, this 51-minute talk offers valuable insights into the intersection of computational and statistical aspects of machine learning. Gain a deeper understanding of perceptron algorithms and their applications in the field of learning and optimization.