Contributed talks I (3 presentations)

Caching with Calibrated Predictions

Helia Karisani (UMass Amherst), Mohammadreza Daneshvaramoli (UMass Amherst), Adam Lechowicz (UMass Amherst), Mingda Qiao (UMass Amherst), Mohammad Hajiesmaili (UMass Amherst)

Value of Learning in Online Decision Making: When does being Bayesian help?

Alireza AmaniHamedani (London Business School), Ali Aouad (MIT), Senem Işık (Stanford University), Amin Saberi (Stanford University)

Dynamic Scheduling with Expert Predictions

Ahan Mishra (Cornell University)

Contributed talks II (4 presentations)

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)