Online Optimization with Untrusted Predictions. - Daan Rutten; Nicolas Christianson; Debankur Mukherjee; Adam Wierman (CoRR, 2022)

Capacity Scaling Augmented With Unreliable Machine Learning Predictions. - Daan Rutten; Debankur Mukherjee (SIGMETRICS Perform. Evaluation Rev., 2022)

Mean-field Analysis for Load Balancing on Spatial Graphs. - Daan Rutten; Debankur Mukherjee (SIGMETRICS (Abstracts), 2023)

Load Balancing Under Strict Compatibility Constraints. - Daan Rutten; Debankur Mukherjee (Math. Oper. Res., 2023)

Smoothed Online Optimization with Unreliable Predictions. - Daan Rutten; Nicolas Christianson; Debankur Mukherjee; Adam Wierman (Proc. ACM Meas. Anal. Comput. Syst., 2023)

Distributed Rate Scaling in Large-Scale Service Systems. - Daan Rutten; Martin Zubeldia; Debankur Mukherjee (SIGMETRICS Perform. Evaluation Rev., 2023)

Distributed Speed Scaling in Large-Scale Service Systems. - Daan Rutten; Martin Zubeldia; Debankur Mukherjee (SIGMETRICS/Performance (Abstracts), 2024)

A New Approach to Capacity Scaling Augmented with Unreliable Machine Learning Predictions. - Daan Rutten; Debankur Mukherjee (Math. Oper. Res., 2024)

Compatibility, Predictions and Optimization in Large-scale Online Decision Making. - Daan Rutten (2024)