29 citations · 78 across the 12 of their papers we have counts for
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cs.LG2026
Data-Efficient Scaling-Law Discovery for Recommendation Systems via Coupled Hyperparameter Scaling
John Martabano Landy, Louis C. Tiao, Yao Xuan +10
Large-scale ranking and recommendation models of Web platforms benefit from increased compute much as large language models do, and their scaling behavior is broadly power-law in f…
cs.LG2026
Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch
Paul Brunzema, Louis Tiao, Nhat Le +3
Bayesian optimization (BO) has become the standard tool for sample-efficient optimization and owes its efficiency to uncertainty-aware search driven by generic statistical priors.…