#scalable inference
topicscalable inference
2 papers · 1 filter
stat.ME2026
Adaptive Nyström for Gaussian Process Regression
Lulu Kang
The paper introduces an adaptive Nyström method that greedily selects landmark points to minimize kernel approximation error while jointly optimizing hyperparameters, enabling scal…
cs.IR2026
LLM-Based User Personas for Recommendations at Scale
Haoting Wang, Haokai Lu, Zheyun Feng +14
The paper presents a framework that uses large language models to generate natural-language user interest personas in real time for a large‑scale video recommendation system, emplo…