A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3161806
Abstract: Upper confidence bound (UCB)-based contextual bandit algorithms require one to know the tail property of the reward distribution. Unfortunately, such tail property is usually unknown or difficult to specify in real-world applications. Using a tail… read more here.
Keywords: tail property; proposed estimator; contextual bandit; bandit ... See more keywords
Optimized inferences of finite population mean using robust parameters in systematic sampling
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0278619
Abstract: In this article, we have proposed a generalized estimator for mean estimation by combining the ratio and regression methods of estimation in the presence of auxiliary information using systematic sampling. We incorporated some robust parameters… read more here.
Keywords: robust parameters; proposed estimator; systematic sampling; optimized inferences ... See more keywords