Smoothness-adaptive contextual bandits
Year of publication: |
2022
|
---|---|
Authors: | Gur, Yonatan ; Momeni, Ahmadreza ; Wager, Stefan |
Published in: |
Operations research. - Linthicum, Md. : INFORMS, ISSN 1526-5463, ZDB-ID 2019440-7. - Vol. 70.2022, 6, p. 3198-3216
|
Subject: | contextual multi-armed bandits | experiment design | Hölder smoothness | Machine Learning and Data Science | nonparametric confidence intervals | nonparametric estimation | self-similarity | Nichtparametrisches Verfahren | Nonparametric statistics | Künstliche Intelligenz | Artificial intelligence | Induktive Statistik | Statistical inference | Schätztheorie | Estimation theory | Lernprozess | Learning process |
-
Comparing sequential forecasters
Choe, Yo Joong, (2024)
-
Data-driven sensitivity analysis for matching estimators
Cerulli, Giovanni, (2019)
-
Double debiased machine learning nonparametric inference with continuous treatments
Colangelo, Kyle, (2019)
- More ...
-
Smoothness-Adaptive Contextual Bandits
Gur, Yonatan, (2021)
-
Adaptive Sequential Experiments with Unknown Information Arrival Processes
Gur, Yonatan, (2021)
-
Adaptive sequential experiments with unknown information arrival processes
Gur, Yonatan, (2022)
- More ...