
About me - Yining Chen
PhD Candidate at Stanford University. Follow. Stanford, CA, US. Twitter. Github. Google Scholar. About me. I am a PhD Candidate in Computer Science at Stanford University advised by Tengyu Ma. I am broadly interested in theoretical machine learning, especially domain adaptation, transfer learning and unsupervised / semi-unsupervised learning.
Yining Chen's homepage - London School of Economics
I am an associate professor in statistics at the London School of Economics and Political Science. In 2022-2023, I will teach ST444 Computational Data Science in the Michaelmas term, and ST304 Time Series and Forecasting in the Lent term. Course materials can be found via Moodle.
Yining Chen - Google Scholar
Right‐hand polarized 4 fce auroral roar emissions: 1. Observations.
CV - Yining Chen
Yining Chen, Sorcha Gilroy, Andreas Maletti, Jonathan May, Kevin Knight Conference of the North American Chapter of the Association of Computational Linguistics (NAACL) 2018, Outstanding Paper Award arXiv:1711.05408
Chen Yining - Google Scholar
2023 6th International Conference on Artificial Intelligence and Big Data …
Welcome to my homepage! – Yining Chen
My name is Yining Chen currently a master student of mathematics in the University of Bonn. You can also find some information in my Zhihu page (a Chinese cummunity) where I write some posts about mathematics.
Yining Chen - OpenAI | LinkedIn
View Yining Chen’s profile on LinkedIn, a professional community of 1 billion members. Experience: OpenAI · Education: Stanford University · Location: San Francisco Bay Area · 500 ...
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陈一宁 CHEN YINING-浙江大学个人主页
邮箱 [email protected] 地址 浙江省杭州市萧山区平澜路2118号浙江大学杭州国际科创中心水博园区A04
Writings - Yining Chen
It’s my Bachelor’s thesis supervised by Prof. Nuiten in Toulouse which consists of three parts. In the first part we give a concise introduction to Toën and Vezzosi’s work on homotopical algebraic geometry, a particular example of which is the derived algebraic geometry.
Yining Chen - London School of Economics and Political Science
Yining's current research focuses on developing new methods for statistical problems such as change-point detection and nonparametric estimation. He is also interested in understanding the computational aspects of statistical methods. He completed his PhD (2014) in Statistics at the University of Cambridge.
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