TimeFri., 16:00-17:00Oct. 18, 2024VenueLecture Hall C548Shuangqing Complex Building A清华大学双清综合楼A座C548报告厅OnlineZoom Meeting ID: 271 534 5558Passcode: YMSCSpeakerZhen-Qing Chen 陈振庆University of Washington陈振庆, 美国华盛顿大学(西雅图)数学系终身教授。他于1992年在位于圣路易斯的华盛顿大学获得博士学位。主要研究领域为概率论及其应用,具体方向包含随机分析、马氏过程、狄氏型理论、位势理论、...
AbstractThe main challenge that sets transfer learning apart from traditional supervised learning is the distribution shift, reflected as the shift between the source and target models and that between the marginal covariate distributions. High-dimensional data introduces unique challenges, such as covariate shifts in the covariate correlation structure and model shifts across individual featur...