Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Julian Zimmert, Naman Agarwal, Satyen Kale. Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States. In Po-Ling Loh, Maxim Raginsky, editors, Conference on Learning Theory, 2-5 July 2022, London, UK. Volume 178 of Proceedings of Machine Learning Research, pages 182-226, PMLR, 2022. [doi]

This author has not been identified. Look up 'Julian Zimmert' in GoogleThis author has not been identified. Look up 'Naman Agarwal' in GoogleThis author has not been identified. Look up 'Satyen Kale' in Google

runs on WebDSL