College of Engineering and Computer Science

Monday, January 13, 2025

• Data and Compute-Efficient Optimization of Parsimonious Models and Its Applications in Machine Learning and Payment Channel Networks

  Jan. 13, 2025 at 11 a.m. until noon
  MSB 318: Mathematical Sciences Building, Room 318 |and Virtual

  Speaker: Dr. Christian Kümmerle From: University of North Carolina Abstract For a machine learning model’s ability to generalize well to unseen data, it has been understood that it needs to be able to capture a hidden, low-dimensional data distribution in the high-dimensional feature space. In this talk, we discuss several ML problems where the optimal model can only be identified if the …

  College of Engineering and Computer Science