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【学术沙龙】青年教师联合论坛第六期:数理统计及机器学习前沿方法及应用

报告时间:2026年6月30日(星期二)14:30—17:00

报告地点:舜耕校区实验楼505

主办单位:亚洲博彩平台网址大全

协办单位:科研处,现代统计交叉科学重点实验室,统计学博士后科研流动站,中加项目管理委员会

一、工作论文报告

二、特邀专家报告

题目:Online Kernel-Based Mode Learning

摘要:Modern big data streams routinely present dual challenges: massive volume that overwhelms single-machine memory, and severe data contamination—such as vertical outliers and heavy-tailed distributions—that undermines traditional mean-based methods like Ordinary Least Squares (OLS). To address these issues simultaneously, we propose a novel online kernel-based mode learning framework designed for robust and memory-efficient parameter estimation over continuous data streams. Processing data sequentially in blocks, our approach leverages a specialized Modal Expectation-Maximization (MEM) algorithm to localize conditional density peaks within each chunk. By extracting and aggregating local empirical Hessians as directional precision weights, the global parameter vector is updated recursively through a single-step algebraic combination, enabling the immediate deletion of historical raw records. Crucially, we establish the asymptotic normality of the resulting online estimator and prove its statistical equivalence to the global batch estimator, confirming that computational acceleration introduces no efficiency penalty. Extensive simulation studies and an empirical application involving over 7.2 million American Airline flight records demonstrate that our method achieves superior resistance to asymmetric contamination, matches the predictive accuracy of batch workflows, and delivers substantial speedups over standard benchmarks.

报告专家:姚卫鑫

专家介绍:姚卫鑫教授现任美国加州大学河滨分校(University of California, Riverside)统计系正教授。他于2002年获中国科学技术大学统计学学士学位,2007年获宾夕法尼亚州立大学统计学博士学位。主要研究方向包括混合模型、非参数与半参数建模、稳健统计、众数回归以及高维统计。迄今为止,姚教授已发表100余篇SCI学术论文,并合著出版混合模型专著一部。他曾担任多个国际知名统计学期刊的副主编(Associate Editor),包括《Biometrics》、《Journal of Computational and Graphical Statistics》、《Journal of Multivariate Analysis》和《The American Statistician》。此外,他还曾担任《Advances in Data Analysis and Classification》和《Econometrics and Statistics》客座主编。姚教授迄今已受邀在四次国际学术会议上作大会主旨报告。凭借其在统计学领域的突出贡献,姚教授当选为美国统计协会会士(Fellow of the American Statistical Association),并当选国际统计学会会员(Elected Member of the International Statistical Institute)。