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Explore tensor decompositions and their applications in this comprehensive lecture by Ankur Moitra from the Massachusetts Institute of Technology. Delve into Jennrich's algorithm, a simple yet powerful method that has been rediscovered multiple times. Gain insights into the algorithmic applications of tensor decompositions, ranging from phylogenetic reconstruction to learning mixture models and orbit retrieval. Learn how these techniques play a crucial role in uncovering parameters of latent variable models. This lecture is part of the "Tensor Methods and Emerging Applications to the Physical and Data Sciences Tutorials 2021" series organized by the Institute for Pure & Applied Mathematics at UCLA.
