2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2020
MOFA: Modular Factorial Design for Hyperparameter Optimization
Bo Xiong, Yimin Huang, Hanrong Ye +2
This paper presents a novel and lightweight hyperparameter optimization (HPO) method, MOdular FActorial Design (MOFA). MOFA pursues several rounds of HPO, where each round alternat…
cs.CV2020★ 2 cited
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling
Wenshuo Ma, Tingzhong Tian, Hang Xu +2
Most state-of-the-art object detection systems follow an anchor-based diagram. Anchor boxes are densely proposed over the images and the network is trained to predict the boxes pos…
stat.ML2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization
Yimin Huang, Yujun Li, Hanrong Ye +2
The evaluation of hyperparameters, neural architectures, or data augmentation policies becomes a critical model selection problem in advanced deep learning with a large hyperparame…