Sanjeev Arora

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Soavtorji

Rong GeDuke UniversityPreverjeni e-poštni naslov na cs.duke.edu
Tengyu MAStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Zhiyuan LiAssistant Professor, Toyota Technological Institute at ChicagoPreverjeni e-poštni naslov na ttic.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonPreverjeni e-poštni naslov na princeton.edu
Boaz BarakHarvard UniversityPreverjeni e-poštni naslov na boazbarak.org
Yingyu LiangUW-MadisonPreverjeni e-poštni naslov na cs.wisc.edu
Yi ZhangSenior Researcher at Microsoft Research RedmondPreverjeni e-poštni naslov na microsoft.com
Nikunj SaunshiResearch Scientist, GooglePreverjeni e-poštni naslov na google.com
Ankur MoitraNorbert Wiener Professor of Mathematics, MITPreverjeni e-poštni naslov na mit.edu
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganPreverjeni e-poštni naslov na umich.edu
Satyen KaleResearch Scientist, ApplePreverjeni e-poštni naslov na satyenkale.com
Andrej RisteskiCarnegie Mellon UniversityPreverjeni e-poštni naslov na andrew.cmu.edu
Madhu SudanGordon McKay Professor of Computer Science, Harvard UniversityPreverjeni e-poštni naslov na cs.harvard.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonPreverjeni e-poštni naslov na cs.washington.edu
Ruosong WangAssistant Professor, Peking UniversityPreverjeni e-poštni naslov na pku.edu.cn
Satish B RaoPreverjeni e-poštni naslov na berkeley.edu
Mikhail KhodakCMUPreverjeni e-poštni naslov na cs.princeton.edu
Dingli YuMicrosoft ResearchPreverjeni e-poštni naslov na microsoft.com
Sadhika MalladiPrinceton UniversityPreverjeni e-poštni naslov na princeton.edu
Nadav CohenAssoc. Professor of Computer Science, Tel Aviv University | CTO, President & Co-Founder, ImubitPreverjeni e-poštni naslov na tauex.tau.ac.il

Spremljaj

Sanjeev Arora

Professor of Computer Science, Princeton University

Preverjeni e-poštni naslov na princeton.edu - Domača stran

theoretical machine learning theoretical computer science


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Computational complexity: a modern approach S Arora, B Barak Cambridge University Press, 2009	5225	2009
Proof verification and the hardness of approximation problems S Arora, C Lund, R Motwani, M Sudan, M Szegedy Journal of the ACM (JACM) 45 (3), 501-555, 1998	3215	1998
Probabilistic checking of proofs: A new characterization of NP S Arora, S Safra Journal of the ACM (JACM) 45 (1), 70-122, 1998	1914	1998
A simple but tough-to-beat baseline for sentence embeddings S Arora, Y Liang, T Ma International conference on learning representations, 2017	1768	2017
Polynomial time approximation schemes for Euclidean traveling salesman and other geometric problems S Arora Journal of the ACM (JACM) 45 (5), 753-782, 1998	1496	1998
The multiplicative weights update method: a meta-algorithm and applications S Arora, E Hazan, S Kale Theory of computing 8 (1), 121-164, 2012	1318	2012
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	1147	2019
On exact computation with an infinitely wide neural net S Arora, SS Du, W Hu, Z Li, R Salakhutdinov, R Wang Neurips 2019 arXiv preprint arXiv:1904.11955, 2019	1069	2019
Expander flows, geometric embeddings and graph partitioning S Arora, S Rao, U Vazirani Journal of the ACM (JACM) 56 (2), 1-37, 2009	1051	2009
A theoretical analysis of contrastive unsupervised representation learning N Saunshi, O Plevrakis, S Arora, M Khodak, H Khandeparkar International Conference on Machine Learning, 5628-5637, 2019	891	2019
Generalization and equilibrium in generative adversarial nets (gans) S Arora, R Ge, Y Liang, T Ma, Y Zhang International conference on machine learning, 224-232, 2017	849	2017
Stronger generalization bounds for deep nets via a compression approach S Arora, R Ge, B Neyshabur, Y Zhang International conference on machine learning, 254-263, 2018	723	2018
The hardness of approximate optima in lattices, codes, and systems of linear equations S Arora, L Babai, J Stern, Z Sweedyk Journal of Computer and System Sciences 54 (2), 317-331, 1997	629	1997
A latent variable model approach to pmi-based word embeddings S Arora, Y Li, Y Liang, T Ma, A Risteski Transactions of the Association for Computational Linguistics 4, 385-399, 2016	628	2016
Implicit regularization in deep matrix factorization S Arora, N Cohen, W Hu, Y Luo Advances in neural information processing systems 32, 2019	620	2019
Polynomial time approximation schemes for Euclidean TSP and other geometric problems S Arora Proceedings of 37th Conference on Foundations of Computer Science, 2-11, 1996	617	1996
On the optimization of deep networks: Implicit acceleration by overparameterization S Arora, N Cohen, E Hazan International conference on machine learning, 244-253, 2018	590	2018
Polynomial time approximation schemes for dense instances of NP-hard problems S Arora, D Karger, M Karpinski Proceedings of the twenty-seventh annual ACM symposium on Theory of …, 1995	588	1995
Learning topic models--going beyond SVD S Arora, R Ge, A Moitra 2012 IEEE 53rd annual symposium on foundations of computer science, 1-10, 2012	562	2012
A practical algorithm for topic modeling with provable guarantees S Arora, R Ge, Y Halpern, D Mimno, A Moitra, D Sontag, Y Wu, M Zhu International conference on machine learning, 280-288, 2013	561	2013

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