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cs.LG2026
Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds
Yunbei Xu, Yuzhe Yuan, Ruohan Zhan
We study the fundamental and timely problem of learning long sequences in autoregressive modeling and next-token prediction under model misspecification, measured by the joint Kull…
cs.LG2026
Fragility-aware Classification for Understanding Risk and Improving Generalization
Chen Yang, Zheng Cui, Daniel Zhuoyu Long +2
Classification models play a central role in data-driven decision-making applications such as medical diagnosis, recommendation systems, and risk assessment. Traditional performanc…