Coresets for Machine Learning - Tensor Factorization and Bregman Clustering

Explore a comprehensive lecture on coresets in machine learning delivered by Prof. Anirban Dasgupta of IIT Gandhinagar, focusing on efficient data summarization techniques for handling massive datasets. Learn about recent developments in creating coresets for tensor factorization and Bregman clustering, with particular emphasis on online algorithms that make immediate, irreversible decisions about including incoming data points. Discover how these smart algorithms can approximate large optimizations while using minimal computational resources. Gain insights into ongoing research regarding deterministic guarantees in coreset creation. The speaker, an N. Rama Rao Chair Professor and former Yahoo Labs Senior Scientist, brings extensive expertise in algorithmic solutions for massive datasets, large-scale machine learning, and social network analysis, enhanced by recognition through prestigious awards including the Google Faculty Research Award and Google India AI/ML Award.