29 citations · 78 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
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.…
Location Aware Embedding for Geotargeting in Sponsored Search Advertising
Jelena Gligorijevic, Djordje Gligorijevic, Aravindan Raghuveer +2
Web search has become an inevitable part of everyday life. Improving and monetizing web search has been a focus of major Internet players. Understanding the context of web search q…
Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems
Jiang Liu, John Martabano Landy, Yao Xuan +14
Modern computational advertising platforms typically rely on recommendation systems to predict user responses, such as click-through rates, conversion rates, and other optimization…