Aligning Time Series on Incomparable Spaces

Alex Terenin, Postdoctoral Research Associate at the University of Cambridge, joins us today to talk about his work "Aligning Time Series on Incomparable Spaces."

Guest

Alex Terenin: Alexander Terenin is an incoming postdoctoral researcher at the University of Cambridge. He is broadly interested in machine learning, but mostly focuses on decision-making systems, uncertainty, Bayesian theory, and inductive biases. He is best known for his contributions on Gaussian processes, which have won best-paper-type awards at top venues twice, at ICML 2020 and AISTATS 2021.