3 papers
math.ST2026
Minimax and adaptive estimation of general linear functionals under sparsity
Jie Xie, Dongming Huang
We study nonasymptotic minimax estimation of the linear functional for a high-dimensional -sparse mean vector with an arbitrary loading vector . For symme…
cs.IR2026
Unleash the Potential of Long Semantic IDs for Generative Recommendation
Ming Xia, Zhiqin Zhou, Guoxin Ma +1
Semantic ID-based generative recommenders face a granularity-efficiency dilemma between efficient recommendation with short IDs and expressive item modeling with long IDs. To break…
stat.ME2025
A Generalized Framework for Approximate Co-Sufficient Sampling
Jie Xie, Dongming Huang
Approximate co-sufficient sampling (aCSS) offers a principled route to hypothesis testing when null distributions are unknown, yet current implementations are confined to maximum l…