Agentic ML Exploration (A-MLE) for Ads Ranking
Modern industrial ads ranking stacks are increasingly bottlenecked not by model capacity or training compute, but by the throughput of human ML iteration - the cycles of research, implementation, training, debugging, evaluation, and launch required to surface a single statistically significant improvement. A typical ra...
Erwin Gao, Vinodh Kumar Sunkara, Jing Guan et al.
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