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Efficient tracking of a growing number of experts

Efficient tracking of a growing number of experts

31 August 2017
Jaouad Mourtada
Odalric-Ambrym Maillard
ArXivPDFHTML

Papers citing "Efficient tracking of a growing number of experts"

5 / 5 papers shown
Title
Expert Aggregation for Financial Forecasting
Expert Aggregation for Financial Forecasting
Carl Remlinger
M. Brière
C. Alasseur
Joseph Mikael
AI4TS
AIFin
32
5
0
25 Nov 2021
Learning how to approve updates to machine learning algorithms in
  non-stationary settings
Learning how to approve updates to machine learning algorithms in non-stationary settings
Jean Feng
16
1
0
14 Dec 2020
Locally-Adaptive Nonparametric Online Learning
Locally-Adaptive Nonparametric Online Learning
Ilja Kuzborskij
Nicolò Cesa-Bianchi
15
5
0
05 Feb 2020
Decentralized Online Learning: Take Benefits from Others' Data without
  Sharing Your Own to Track Global Trend
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
Wendi Wu
Zongren Li
Yawei Zhao
Chenkai Yu
P. Zhao
Ji Liu
FedML
18
16
0
29 Jan 2019
Combining Expert Advice Efficiently
Combining Expert Advice Efficiently
Wouter M. Koolen
S. D. Rooij
91
33
0
14 Feb 2008
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