Three papers accepted to SODA
Three papers were accepted to the ACM-SIAM Symposium on Discrete Algorithms SODA24
Talk by Aleksander Bjørn Grodt Christiansen
Aleksander Bjørn Grodt Christiansenis visiting the research group from October 9 till October 20. He will talk about his work on Tuesday, October 17th.
New Course: Seminar on Dynamic Machine Learning Algorithms
In this seminar, we will discuss recent results in algorithms research, with a focus on the relationship between dynamic algorithms and machine learning. We will study basic algorithms for supervised and unsupervised machine learning tasks in which the input data is constantly changing and the algorithm quickly has to adapt its output after each such change. Further topics of interest include the use of novel dynamic matrix data structures in (static) machine learning algorithms and dynamic algorithms for data science tasks.
