28 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.LG2021
The Impact of Batch Learning in Stochastic Bandits
Danil Provodin, Pratik Gajane, Mykola Pechenizkiy +1
We consider a special case of bandit problems, namely batched bandits. Motivated by natural restrictions of recommender systems and e-commerce platforms, we assume that a learning…
physics.soc-ph2016★ 2 cited
Investigation of the concept of beauty via a lock-in feedback experiment
M. C. Kaptein, R. van Emden, D. Iannuzzi
Lock-in feedback circuits are routinely used in physics laboratories all around the world to extract small signals out of a noisy environment. In a recent paper (M. Kaptein, R. van…
cs.LG2014★ 28 cited
Thompson sampling with the online bootstrap
Dean Eckles, Maurits Kaptein
Thompson sampling provides a solution to bandit problems in which new observations are allocated to arms with the posterior probability that an arm is optimal. While sometimes easy…