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Jiameng Lyu

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#machine learning Preprint Sep 2026

Resource-Adaptive Stochastic Gradient Descent for Online Linear Programming without Re-solving

The growth of large language model (LLM) inference and search services increases the scale of online linear programming problems, motivating computationally efficient algorithms. We develop resource-adaptive stochastic gradient descent (RASGD) for stochastic online linear programming. The algorithm uses one request and...

Jiameng Lyu · 0 citations