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I am currently an applied scientist in Amazon Web Services AI Lab. I received my Ph.D. in Institute for Computational and Mathematical Engineering (ICME) from Stanford Univeristy, where I was co-advised by Chris Ré and Michael Mahoney. My research interest lies in randomized linear algebra, optimization and machine learning.
222. 2020. Second-order optimization for non-convex machine learning: An empirical study. P Xu, F Roosta, MW Mahoney. Proceedings of the 2020 SIAM International Conference on Data Mining, 199-207. , 2020. 170. 2020. Giant: Globally improved approximate newton method for distributed optimization.
Yan Xu Ph.D. Candidate, Hong Kong University of Science and Technology. Chien-Sheng (Jason) Wu Salesforce AI Research. Ji Ho Park Google. Farhad Bin Siddique The Hong Kong University of Science and Technology. Dan SU NVIDIA. Tiezheng Yu Ph.D. Candidate, Hong Kong University of Science and Technology. Follow.
Peng Xu (徐鹏) Tsinghua University. Verified email at tsinghua.edu.cn - Homepage. Multimodal Learning Computer Vision Machine Learning. Articles 1–20. Tsinghua University - Cited by 1,082 -...
XU Peng 徐鹏. I'm a lecturer in Department of Electronic Engineering, Tsinghua University. My current research is broadly in multimodal learning, computer vision, deep learning, and machine learning.
Oct 4, 2023 · Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro. Extending the context window of large language models (LLMs) is getting popular recently, while the solution of augmenting LLMs with retrieval has existed for years.
Peng XU - Essec faculty. Professor of Management Practice. department: Finance. Campus de Singapour. xup@essec.edu. Financial Markets & Institutions – Corporate Finance – Investments & Asset Pricing – Mathematics – Probability Theory & Mathematical Statistics – Sustainable development. Download CV. Career. Research. Biography. Curriculum Vitae.
