Frugality for Sequential Prediction: Reaching Bounded Regret While Using Expert Advice Sparingly
Institut des Hautes Etudes Scientifiques (IHES) via YouTube
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a thought-provoking lecture on sequential prediction techniques that delves into achieving bounded regret while judiciously utilizing expert advice. Delivered by Gilles Blanchard at the Institut des Hautes Etudes Scientifiques (IHES), this 53-minute talk examines the concept of frugality in prediction models and its impact on regret bounds. Gain insights into innovative approaches for balancing the use of expert knowledge with efficient prediction strategies, potentially revolutionizing the field of machine learning and decision-making processes.
Syllabus
Gilles Blanchard - Frugality for sequential prediction: reaching bounded regret ...
Taught by
Institut des Hautes Etudes Scientifiques (IHES)