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cs.LG2024
CAMBranch: Contrastive Learning with Augmented MILPs for Branching
Jiacheng Lin, Meng Xu, Zhihua Xiong +1
Recent advancements have introduced machine learning frameworks to enhance the Branch and Bound (B\&B) branching policies for solving Mixed Integer Linear Programming (MILP). These…
cs.LG2023★ 2 cited
Cascade Speculative Drafting for Even Faster LLM Inference
Ziyi Chen, Xiaocong Yang, Jiacheng Lin +3
Introduced to enhance the efficiency of large language model (LLM) inference, speculative decoding operates by having a smaller model generate a draft. A larger target model then r…