Book
Open access
Sep 2026
TSMOO: Solving Multi-Objective Experimentation with Constrained Thompson Sampling
This work introduces TSMOO (Thompson Sampling with Multi-Objective Optimization), a method that bridges the gap by combining multi-metric optimization with continuous learning in batch traffic allocation and outperforming both single-metric and elimination-based baselines.
K. C. Kalagarla, Yi Liu, L. Chai et al.
· Proceedings of the 20th ACM... · 0 citations