Small-loss bounds for online learning with partial information
Thodoris Lykouris, Karthik Sridharan, Éva Tardos
| Year of publication: |
2022
|
|---|---|
| Authors: | Lykouris, Thodoris ; Sridharan, Karthik ; Tardos, Éva |
| Published in: |
Mathematics of operations research. - Hanover, Md. : INFORMS, ISSN 1526-5471, ZDB-ID 2004273-5. - Vol. 47.2022, 3, p. 2186-2218
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| Subject: | bandit algorithms | contextual bandits | feedback graphs | first-order bounds | high probability | online learning | partial information | regret bounds | semi-bandits | small-loss bounds | Lernprozess | Learning process | Unvollkommene Information | Incomplete information | Begrenzte Rationalität | Bounded rationality | E-Learning | E-learning | Algorithmus | Algorithm | Entscheidung unter Unsicherheit | Decision under uncertainty | Wahrscheinlichkeitsrechnung | Probability theory | Graphentheorie | Graph theory |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/moor.2021.1204 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013375043