5 citations · 8 across the 5 of their papers we have counts for
3 papers · 1 filter
Agent-based Collaborative Random Search for Hyper-parameter Tuning and Global Function Optimization
Ahmad Esmaeili, Zahra Ghorrati, Eric T. Matson
Hyper-parameter optimization is one of the most tedious yet crucial steps in training machine learning models. There are numerous methods for this vital model-building stage, rangi…
Hierarchical Collaborative Hyper-parameter Tuning
Ahmad Esmaeili, Zahra Ghorrati, Eric Matson
Hyper-parameter Tuning is among the most critical stages in building machine learning solutions. This paper demonstrates how multi-agent systems can be utilized to develop a distri…
HAMLET: A Hierarchical Agent-based Machine Learning Platform
Ahmad Esmaeili, John C. Gallagher, John A. Springer +1
Hierarchical Multi-Agent Systems provide convenient and relevant ways to analyze, model, and simulate complex systems composed of a large number of entities that interact at differ…