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cs.LG2026
Optimal low-rank stochastic gradient estimation for LLM training
Zehao Li, Tao Ren, Zishi Zhang +2
Large language model (LLM) training is often bottlenecked by memory constraints and stochastic gradient noise in extremely high-dimensional parameter spaces. Motivated by empirical…
cs.LG2024★ 1 cited
Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment
Yi Zheng, Zehao Li, Peng Jiang +1
We study the dynamic pricing and replenishment problems under inconsistent decision frequencies. Different from the traditional demand assumption, the discreteness of demand and th…