2 papers
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…
stat.AP2026
Tail reliability in probabilistic electricity price forecasts: comparing model combination and conformal prediction in the GB day-ahead market
Anirudh Agrawal, Aidan O'Sullivan
Probabilistic forecasts of day-ahead electricity prices are increasingly used to manage price risk, yet competing models are usually ranked on aggregate scores that average over th…