Speaker: 叶荫宇讲席教授，美国斯坦福大学管理科学与工程系

Title: Mathematical Optimization in the Era of AI

Language: Chinese

Time & Venue: 2024.10.31 15:30-16:30 南楼219会议室

Abstract: This talk aims to respond to the question: are the classical mathematical optimization/game models, theories, and algorithms remaining valuable in the AI and LLM era? We present several cases to show how mathematical programming and AI/Machine-Learning technologies complement each other. In particular, we discuss advances in mathematical modeling and LP, SDP and/or Market-Equilibrium computing aided by LLM, First-Order methods and the GPU Implementation. On the other hand, we describe how classic optimization techniques can be applied to accelerate the LLM Training and Fine-Tuning.