6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
Jifan Zhang, Yifang Chen, Gregory Canal +8
Labeled data are critical to modern machine learning applications, but obtaining labels can be expensive. To mitigate this cost, machine learning methods, such as transfer learning…
stat.ML2020★ 6 cited
Finding All ε-Good Arms in Stochastic Bandits
Blake Mason, Lalit Jain, Ardhendu Tripathy +1
The pure-exploration problem in stochastic multi-armed bandits aims to find one or more arms with the largest (or near largest) means. Examples include finding an ε-good arm, best-…