Machine Learning in the Space of Datasets: an Optimal Transport Perspective - Fall 2023 Machine Learning Symposium

The CDS Machine Learning Symposium, developed by Assistant Professors Aldo Pacchiano and Xuezhou Zhang, and hosted by the Faculty of Computing and Data Sciences, brings together leading scholars in machine learning to delve into the cutting-edge developments and foundational technologies shaping the field of machine learning. By uniting experts from various technical disciplines, including algorithmic design, model architectures, and optimization techniques, the symposium aims to illuminate the latest advancements and challenges in core machine learning methodologies.