Particle Methods for Optimization over Measures - Lecture 1

Explore particle methods for optimization over measures in this lecture by Lénaïc Chizat, part of the Data Science: Probabilistic and Optimization Methods discussion meeting. Delve into advanced mathematical concepts at the intersection of optimization, linear algebra, and probability theory. Gain insights into cutting-edge techniques driving the data science revolution, with a focus on processing and analyzing large-scale datasets. Learn how these methods are shaping various scientific fields by combining model-based and data-driven approaches. Participate in this comprehensive program organized by leading experts from IIT Bombay, TIFR, Google Research India, and MIT, featuring distinguished speakers including Michael I. Jordan from UC Berkeley.

Particle Methods for Optimization over Measures (Lecture 1) by Lénaïc Chizat