Jingfeng Wu
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Description: Ruiqi Zhang is a senior student in School of Mathematical Sciences at Peking University.
statistics (1397) berkeley (627) reinforcement learning (137) pku (54) zhang (37) ruiqi zhang (1) 张锐麒 (1) ruiqi (1) bio-statistics (1)
I am a second-year Ph.D. in the Department of Statistics at University of California, Berkeley, advised by Prof. Peter L. Bartlett . My research mainly focuses on Theoretical Deep Learning, Reinforcement Learning and their applications in the real world, such as Genomics. Recently, I work in the theory of Transformers, In-Context Learning and Large Language Models. Previously, I got my bachelor's degree in School of Mathematical Science(SMS) at Peking University(PKU), majoring Mathematics and Statistics. My
Email  /  Language: Chinese, English, French  /  Coding: Python, R, Matlab, LaTeX, Prompting GPT. Reviewer experience: ICML 2022, NIPS 2023, NIPS 2023 R0-FoMo Workshop, NIPS 2023 Math+A Workshop, ICLR 2024, AISTATS 2024, TMLR.
10/25-10/27/2023, I will give talks on theory of transformers and in-context learning at Theory and Practice of Foundation Models workshop held by Google Research and the Yale Institute for Foundation of Data Science. My talks will be mostly based on this paper . 08-10/2023, I will give talks on theory of transformers and in-context learning at Google Research India, UIUC ML Seminar, AITIME, Berkeley ML Theory Reading Group and University of Washington. My talks will be mostly based on this paper . My colla
Jingfeng Wu
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