14 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
A Regression Approach to Learning-Augmented Online Algorithms
Keerti Anand, Rong Ge, Amit Kumar +1
The emerging field of learning-augmented online algorithms uses ML techniques to predict future input parameters and thereby improve the performance of online algorithms. Since the…
cs.LG2022★ 14 cited
Customizing ML Predictions for Online Algorithms
Keerti Anand, Rong Ge, Debmalya Panigrahi
A popular line of recent research incorporates ML advice in the design of online algorithms to improve their performance in typical instances. These papers treat the ML algorithm a…