4 papers
Unleash the Potential of Long Semantic IDs for Generative Recommendation
Ming Xia, Guoxin Ma, Zhiqin Zhou +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…
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 symmetric…
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…
Correlation Analysis of Adversarial Attack in Time Series Classification
Zhengyang Li, Wenhao Liang, Chang Dong +2
This study investigates the vulnerability of time series classification models to adversarial attacks, with a focus on how these models process local versus global information unde…