Lecture Series:
Low-rank Methods in Visual Computing and Machine Learning
Low-rank decompositions of matrices and tensors periodically return to the spotlight in scientific computing and data science: dimensionality reduction, signal recovery, recommender systems, data compression, efficient LLM finetuning, etc. In this talk, I will ...