[Statlist] ETH-FDS Seminar talk with Yinyu Ye, Stanford, CUHKSZ, HKUST, and SJTU -- 13 March 2025, 16:15, ETH Zurich

[Kaiser-Heinzmann Susanne]

We are pleased to announce and invite you to the following talk in our ETH-FDS seminar series:

„Mathematical Optimization in the Era of AI“

by Yinyu Ye, Stanford, CUHKSZ, HKUST, and SJTU

Date and Time (Zurich): Thursday, 13 March 2025, 16.15 - 17.15
Place: ETH Zurich, HG G 19.1

Abstract: This talk aims to present several mathematical optimization problems/algorithms for AI such as the LLM training, tunning and inferencing. In particular, we describe how classic optimization models/theories can be applied to accelerate and improve the Training/Tunning/Inferencing algorithms that are popularly used in LLMs. On the other hand, we show breakthroughs in classical Optimization (LP and SDP) Solvers aided by AI-related techniques such as first-order and ADMM methods, the low-rank SDP theories, and the GPU Implementations.

Bio: Yinyu Ye is currently the K.T. Li Professor of Engineering at Department of Management Science and Engineering and Institute of Computational and Mathematical Engineering, Stanford University; and visiting chair professor of Shanghai Jiao Tong University. His current research topics include Continuous and Discrete Optimization, Data Science and Applications, Algorithm Design and Analyses, Algorithmic Game/Market Equilibrium, Operations Research and Management Science etc.; and he was one of the pioneers on Interior-Point Methods, Conic Linear Programming, Distributionally Robust Optimization, Online Linear Programming and Learning, Algorithm Analyses for Reinforcement Learning & Markov Decision Process and nonconvex optimization, and etc. He and his students have received numerous scientific awards, himself including the 2006 INFORMS Farkas Prize (Inaugural Recipient) for fundamental contributions to optimization, the 2009 John von Neumann Theory Prize for fundamental sustained contributions to theory in Operations Research and the Management Sciences, the inaugural 2012 ISMP Tseng Lectureship Prize for outstanding contribution to continuous optimization (every three years), the 2014 SIAM Optimization Prize awarded (every three years).


Seminar websites: https://math.ethz.ch/sfs/news-and-events/data-science-seminar.html, https://math.ethz.ch/sfs/eth-foundations-of-data-science.html


Organisers: A. Bandeira, H. Bölcskei, P. Bühlmann, J. Peters, F. Yang

ETH Zürich I Seminar für Statistik I Rämistrasse 101 I 8092 Zürich I Telefon +41 44 632 65 18 I sekretariat at stat.math.ethz.ch