It is shown that model selection is a recommendation problem, and AgentRec, a multi-stage retrieval-and-ranking framework that progressively narrows hundreds of candidate models using increasingly expensive but more faithful evaluation signals, is introduced.
Chen Luo, Yu-Lin Liu, Yi Liu et al.· Proceedings of the 20th ACM...· 0 citations
It is shown that model selection is a recommendation problem, and AgentRec, a multi-stage retrieval-and-ranking framework that progressively narrows hundreds of candidate models using increasingly expensive but more faithful evaluation signals, is introduced.
Chen Luo, Yu-Lin Liu, Yi Liu et al.· Proceedings of the 20th ACM...· 0 citations
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
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