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Sanjeev Arora - Princeton University. Research Interest: Developing mathematical and conceptual. understanding to enable better and safer AI. Charles C. Fitzmorris Professor of Computer Science. Director, Princeton Language and Intelligence. PhD, UC Berkeley 1994. Teaching Research Group Bio/CV Google Scholar Page.
Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks. S Arora, S Du, W Hu, Z Li, R Wang. International Conference on Machine Learning, 322-332. , 2019. 958. 2019. On exact computation with an infinitely wide neural net.
Sanjeev Arora (born January 1968) is an Indian American theoretical computer scientist who works in AI and Machine learning. Life. Sanjeev scored the IIT JEE number 1 rank in 1986. He was a visiting scholar at the Institute for Advanced Study in 2002–03. [2] In 2008 he was inducted as a Fellow of the Association for Computing Machinery. [3] .
Sanjeev Arora is a renowned computer scientist and mathematician who works on machine learning, natural language processing, and theory. He is a member of several academic societies and has won several awards, including the ACM Prize in Computing and the Gödel Prize.
Packard Fellowship for Science and Engineering (1997) Empregador (a) Universidade de Princeton. Campo (s) ciência da computação. [ edite no Wikidata] Sanjeev Arora ( Jodhpur, Índia, janeiro de 1968 [ 1]) é um cientista da computação estadunidense nascido na Índia. [ 1]
- Estados Unidos
Distinguished Visiting Professor, Institute for Advanced Study, 2017-20. Visiting appointments at UC Berkeley, Microsoft Research,Weizmann Institute, Kyoto University (2013, 2022), EPFL (2013), ETH (2022), DeepMind London (2023) Founding Director, Princeton Language and Intelligence, 2023.
Sanjeev Arora is a leading expert in computability theory, algorithms, and data structures. He is the Charles C. Fitzmorris Professor in Computer Science at Princeton University and a Simons Foundation investigator. He has won several awards and honors for his research and teaching.
