16 citations · 69 across the 56 of their papers we have counts for
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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…
cs.LG2022★ 2 cited
Online Algorithms with Multiple Predictions
Keerti Anand, Rong Ge, Amit Kumar +1
This paper studies online algorithms augmented with multiple machine-learned predictions. While online algorithms augmented with a single prediction have been extensively studied i…