2 papers
cs.LG2023
Online Matching: A Real-time Bandit System for Large-scale Recommendations
Xinyang Yi, Shao-Chuan Wang, Ruining He +6
The last decade has witnessed many successes of deep learning-based models for industry-scale recommender systems. These models are typically trained offline in a batch manner. Whi…
cs.LG2019
Scalable K-Medoids via True Error Bound and Familywise Bandits
Aravindakshan Babu, Saurabh Agarwal, Sudarshan Babu +1
K-Medoids(KM) is a standard clustering method, used extensively on semi-metric data.Error analyses of KM have traditionally used an in-sample notion of error,which can be far from…