Hamilton-Jacobi Equations for Statistical Inference Problems
发布时间:2020年09月28日
浏览次数:5440
发布者: He Liu
主讲人: Hong-Bin Chen (Courant, NYU)
活动时间: 从 2020-10-14 13:00 到 2020-10-15 18:00
场地: 北京国际数学研究中心,镜春园78号院(怀新园)77201室
Time: October 14 (Wednesday), 13:15--14:45
October 15 (Thursday), 15:15 -- 16:45
Note: There is also a probability seminar talk by Hong-Bin Chen on the same topic on Monday October 12, 2--3pm, in School of Mathematical Sciences. The seminar will be an overview of the problem and recent developments. More information of the seminar can be found here: http://bicmr.pku.edu.cn/~xinyili/probseminar.htm.
October 15 (Thursday), 15:15 -- 16:45
The aim is to give an overview of the Hamilton-Jacobi equation approach in the study of the limit of free energy in mean-field disordered systems. This approach will be demonstrated in relatively simple models from statistical inference. The free energy associated with an enriched Hamiltonian will be shown to converge to a unique solution of a certain Hamilton-Jacobi equation.
In the first lecture, we introduce the setting and basic tools. Then, we will show the free energy satisfies an approximate Hamilton-Jacobi equation. Notions of solutions will be discussed. In the second lecture, well-posedness of the equation will be studied, and the proof of the convergence will be sketched.Note: There is also a probability seminar talk by Hong-Bin Chen on the same topic on Monday October 12, 2--3pm, in School of Mathematical Sciences. The seminar will be an overview of the problem and recent developments. More information of the seminar can be found here: http://bicmr.pku.edu.cn/~xinyili/probseminar.htm.