题   目：Fast algorithms for solving Stackelberg prediction game with least squares loss

报告人：郦旭东 研究员

单   位：复旦大学

时   间：2022年12月7日 10：00

地   点：腾讯会议150-190-907

摘  要： The Stackelberg prediction game (SPG) is popular in characterizing strategic interactions between a learner and an attacker. As an important special case, the SPG with least squares loss (SPG-LS) has recently received much research attention. In this talk, we will discuss several efficient algorithms for solving SPG-LS.

报告人简介：郦旭东，复旦大学大数据学院青年研究员。他关注数据驱动大规模优化问题理论、算法及应用。他于2019年获得Mathematical Optimization Society 青年学者奖，于2022年获得ICML 杰出论文奖，现为Mathematical Programming Computation副主编。