Seminars and colloquia

E.g., Feb 5, 2023

Oscar Leong


The Power and Limitations of Convexity in Data Science

February 6, 2023

Optimization is a fundamental pillar of data science. Traditionally, the art and challenge in optimization lay primarily in problem formulation to ensure desirable properties such as convexity. In the context of contemporary data science, however, optimization is practiced ... Read more
  • Mathematics of Information

Oscar Leong


Theory and Algorithms for Deep Generative Networks in Inverse Problems

February 7, 2023

In many problems arising in data science and scientific engineering, one must reconstruct a signal from few corrupted measurements, a class of problems known more broadly as inverse problems. Due to the ill-posedness of such problems, one requires a prior: a mathematical model ... Read more
  • Mathematics of Information