SIAM Student Chapter Seminar: Difference between revisions

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'''October 13, Xiaopeng Li:'''  We propose a new length formula that governs the iterates of the momentum method when minimizing differentiable semi-algebraic functions with locally Lipschitz gradients. It enables us to establish local convergence, global convergence, and convergence to local minimizers without assuming global Lipschitz continuity of the gradient, coercivity, and a global growth condition, as is done in the literature. As a result, we provide the first convergence guarantee of the momentum method starting from arbitrary initial points when applied to principal component analysis, matrix sensing, and linear neural networks.
'''October 13, Xiaopeng Li:'''  We propose a new length formula that governs the iterates of the momentum method when minimizing differentiable semi-algebraic functions with locally Lipschitz gradients. It enables us to establish local convergence, global convergence, and convergence to local minimizers without assuming global Lipschitz continuity of the gradient, coercivity, and a global growth condition, as is done in the literature. As a result, we provide the first convergence guarantee of the momentum method starting from arbitrary initial points when applied to principal component analysis, matrix sensing, and linear neural networks.
'''October 20, Yingxin Zhao:'''In this talk, I will give an overview of the different job roles at Investment Banking, share my career path as an interest rate quant starting from graduate program to Executive Director over the past 12 years at UBS and give a few tips on quant job interviews. At the end of the seminar, I am happy to take printed copies of your CVs and email back my review feedback later.
==Past Semesters==
==Past Semesters==
*[[SIAM Spring 2023]]
*[[SIAM Spring 2023]]

Revision as of 19:42, 16 October 2023


Fall2023

Date Location Speaker Title
9/29 Zoom and VV911 Solly Parenti What is ... a software engineering interview?
10/13 Zoom and VV911 Xiaopeng Li Convergence of the Momentum Method for Semi-Algebraic Functions with Locally Lipschitz Gradients
10/20 VV911 Yingxin Zhao Industry talk from UBS quant
10/27 Zoom and VV911 Evan Sorensen
11/10 VV911 Jiayin Lu
11/17 VV911 Thomas Chandler


Abstracts

September 29, Solly Parenti: I'll share my experiences going through a bunch of software engineering interviews, as well as how I learned how to program and my thoughts on industry jobs.

October 13, Xiaopeng Li: We propose a new length formula that governs the iterates of the momentum method when minimizing differentiable semi-algebraic functions with locally Lipschitz gradients. It enables us to establish local convergence, global convergence, and convergence to local minimizers without assuming global Lipschitz continuity of the gradient, coercivity, and a global growth condition, as is done in the literature. As a result, we provide the first convergence guarantee of the momentum method starting from arbitrary initial points when applied to principal component analysis, matrix sensing, and linear neural networks.

October 20, Yingxin Zhao:In this talk, I will give an overview of the different job roles at Investment Banking, share my career path as an interest rate quant starting from graduate program to Executive Director over the past 12 years at UBS and give a few tips on quant job interviews. At the end of the seminar, I am happy to take printed copies of your CVs and email back my review feedback later.

Past Semesters