2 papers
cs.DS2024
Data-Driven Solution Portfolios
Marina Drygala, Silvio Lattanzi, Andreas Maggiori +3
In this paper, we consider a new problem of portfolio optimization using stochastic information. In a setting where there is some uncertainty, we ask how to best select potenti…
cs.LG2024
Binary Search with Distributional Predictions
Michael Dinitz, Sungjin Im, Thomas Lavastida +3
Algorithms with (machine-learned) predictions is a powerful framework for combining traditional worst-case algorithms with modern machine learning. However, the vast majority of wo…