Learning-augmented Algorithms: Theory and Applications (LATA)

Contributed Talks

Contributed talks II (4 presentations)

Contributed Talk Authors

at  14:15 ! Livein  Main Workshopfor  60min

Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach

Fatemeh Ghaffari (UMass Amherst), Siddarth Sitaraman (Brown University), Xutong Liu (University of Washington - Tacoma), Xuchuang Wang (CUHK), Mohammad Hajiesmaili (UMass Amherst)

A Learning-Augmented Framework for Knapsack-Constrained Submodular Maximization Problems

Yanhui Zhu (Montclair State University)

Confidence-Aware Learning-Augmented Algorithms for the Bahncard Problem

Ziyi Han (CUHK), Bo Sun (University of Ottawa), Xuchuang Wang (CUHK), Mohammad Hajiesmaili (UMass Amherst), John C.S. Lui (CUHK)

Risk-Sensitive Peak-Aware Energy Scheduling: Competitive and Learning-Augmented Algorithms

Lukas Himmelreich (ETH Zurich), Nicolas Christianson (Stanford University), Adam Wierman (Caltech)

 Overview  Program