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Sanjeev Arora

Arora at [[Oberwolfach]], 2010

Sanjeev Arora (born January 1968) is an Indian-American theoretical computer scientist who works in AI and Machine learning. Provided by Wikipedia

1

Computational complexity : a modern approach / by 440361 Arora, Sanjeev, Barak, Boaz

Published 2009
2

New algorithms for learning incoherent and overcomplete dictionaries by Arora, Sanjeev, Ge, Rong, Moitra, Ankur

Published 2016

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3

Message-Passing Algorithms and Improved LP Decoding by Arora, Sanjeev, Daskalakis, Constantinos, Steurer, David

Published 2021

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4

Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders by Arora, Sanjeev, Ge, Rong, Moitra, Ankur, Sachdeva, Sushant

Published 2017

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5

Simple, efficient, and neural algorithms for sparse coding by Arora, Sanjeev, Ge, Rong, Ma, Tengyu, Moitra, Ankur

Published 2018

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6

Provable algorithms for inference in topic models by Arora, Sanjeev, Ge, Rong, Ma, Tengyu, Koehler, Frederic, Moitra, Ankur

Published 2018

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7

Local Versus Global Properties of Metric Spaces by Vempala, Santosh S., Arora, Sanjeev, Lovász, László, Newman, Ilan, Rabani, Yuval, Rabinovich, Yuri

Published 2012

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