2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.DS2024★ 1 cited
Approximation Algorithms for Combinatorial Optimization with Predictions
Antonios Antoniadis, Marek Eliáš, Adam Polak +1
We initiate a systematic study of utilizing predictions to improve over approximation guarantees of classic algorithms, without increasing the running time. We propose a systematic…
cs.LG2024★ 1 cited
Algorithms for Caching and MTS with reduced number of predictions
Karim Abdel Sadek, Marek Elias
ML-augmented algorithms utilize predictions to achieve performance beyond their worst-case bounds. Producing these predictions might be a costly operation -- this motivated Im et a…
cs.LG2024★ 2 cited
Learning-Augmented Algorithms with Explicit Predictors
Marek Elias, Haim Kaplan, Yishay Mansour +1
Recent advances in algorithmic design show how to utilize predictions obtained by machine learning models from past and present data. These approaches have demonstrated an enhancem…