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L. Chai

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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. · 0 citations

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