Title: Data-Driven Chance Constrained Programs over Wasserstein BallsSpeaker: Matheus Ota Affiliation: University of Waterloo Location: MC 6029 or contact Rian Neogi for Zoom link
Abstract: In many real-world applications, precise problem data is not available to the decision maker. One way to handle this uncertainty is by using chance-constraints, where the probability that at least one constraint is violated is bounded above by some parameter. However, such an approach assumes that the decision maker has access to the true probability distribution which governs the data behavior.
Title: Strongly regular graphs with a regular pointSpeaker: Krystal Guo Affiliation: University of Amsterdam, Korteweg-de Vries Institute Location MC 5501 or please contact Melissa Cambridge for the Zoom link
Abstract: Arising from Hoffman and Singleton's study of Moore graphs, strongly regular graphs play an important role in algebraic graph theory. Strongly regular graphs can be construct from geometric objects, such as generalized quadrangles and certain geometric properties, such as having a regular point, can be studied in the context of graphs.