报告题目:机器学习中的一阶优化方法(First-Order Optimization Methods in Machine Learning)
报告时间:11月17日(星期五)下午3:00-4:15
报告地点:学科3号楼S410会议室
报告人:林宙辰 教授
主持人:刘青山 教授
欢迎广大师生踊跃参加!
江苏省大数据分析技术重点实验室
江苏省气象能源利用与控制工程技术研究中心
江苏省大气环境与装备技术协同创新中心
信息与控制学院
2017年11月14日
报告摘要: Optimization is a key component in machine learning. When problems scale up, normally only first-order optimization methods can be used in practice. In this talk I will briefly review some advances in the first-order optimization methods in machine learning. If time permits, I will also introduce some of my recent work on first order optimization.
报告人简介: Zhouchen Lin is currently a professor with the Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University. His research interests include computer vision, image processing, machine learning, pattern recognition, and numerical optimization. He is an area chair of CVPR 2014/2016, ICCV 2015, and NIPS 2015, and a senior program committee member of AAAI 2016/2017/2018 and IJCAI 2016/2018. He is an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence and the International Journal of Computer Vision. He is an IAPR Fellow.

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