29 citations · 31 across the 3 of their papers we have counts for
3 papers · 1 filter
Task Selection for AutoML System Evaluation
Jonathan Lorraine, Nihesh Anderson, Chansoo Lee +2
Our goal is to assess if AutoML system changes - i.e., to the search space or hyperparameter optimization - will improve the final model's performance on production tasks. However,…
Pre-training helps Bayesian optimization too
Zi Wang, George E. Dahl, Kevin Swersky +6
Bayesian optimization (BO) has become a popular strategy for global optimization of many expensive real-world functions. Contrary to a common belief that BO is suited to optimizing…
Online Linear Optimization via Smoothing
Jacob Abernethy, Chansoo Lee, Abhinav Sinha +1
We present a new optimization-theoretic approach to analyzing Follow-the-Leader style algorithms, particularly in the setting where perturbations are used as a tool for regularizat…