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Sanjeev Arora. 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
Articles 1–20. Professor of Computer Science, Princeton University - Cited by 36,752 - theoretical machine learning - theoretical computer science.
Sanjeev Arora (born January 1968) is an Indian American theoretical computer scientist who works in AI and Machine learning.
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.
Sanjeev Arora (Jodhpur, Índia, janeiro de 1968 [1]) é um cientista da computação estadunidense nascido na Índia. [1]
Sanjeev Arora is a renowned theoretical computer scientist who works on computational complexity, algorithms, and machine learning. He is a member of the National Academy of Sciences, a Simons Investigator, and the author of Computational Complexity: A Modern Approach.
The group of Sanjeev Arora, a professor of computer science at Princeton, focuses on designing and analyzing machine learning algorithms with provable guarantees. They work on unsupervised learning, deep learning, optimization, generalization, and interpretability.
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