Instructor: Fred Sala

Is our familiar Euclidean space and its linear structure always the right place for machine learning? Recent research argues otherwise: it is not always needed and sometimes harmful, as demonstrated by a wave of exciting work. Starting with the notion of hyperbolic representations for hierarchical data, a major push has …