A Differential Equations Approach to Optimizing Regret Trade-offs

7 May 2013

Papers citing "A Differential Equations Approach to Optimizing Regret Trade-offs"

7 / 7 papers shown

Title
Continuous Prediction with Experts' AdviceJournal of machine learning research (JMLR), 2022 V. S. Portella Christopher Liaw Nicholas J. A. Harvey 177 6 0 01 Jun 2022
PDE-Based Optimal Strategy for Unconstrained Online LearningInternational Conference on Machine Learning (ICML), 2022 Zhiyu Zhang Ashok Cutkosky I. Paschalidis 164 29 0 19 Jan 2022
Online Prediction With History-Dependent Experts: The General CaseCommunications on Pure and Applied Mathematics (CPAM), 2020 Nadejda Drenska Jeff Calder 153 12 0 31 Jul 2020
A PDE Approach to the Prediction of a Binary Sequence with Advice from Two History-Dependent ExpertsCommunications on Pure and Applied Mathematics (CPAM), 2020 Nadejda Drenska R. Kohn 102 11 0 24 Jul 2020
Optimal anytime regret with two expertsMathematical Statistics and Learning (MSL), 2020 Nicholas J. A. Harvey Christopher Liaw E. Perkins Sikander Randhawa 208 18 0 20 Feb 2020
Optimally Combining Classifiers Using Unlabeled Data Akshay Balsubramani Y. Freund 153 43 0 05 Mar 2015
Optimal amortized regret in every intervalConference on Uncertainty in Artificial Intelligence (UAI), 2013 Rina Panigrahy P. Popat 88 2 0 29 Apr 2013