Hamed Hassani

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	All	Since 2018
Citations	5594	4732
h-index	42	38
i10-index	79	75

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Ruediger UrbankeEPFLVerified email at epfl.ch
Aryan MokhtariUniversity of Texas at AustinVerified email at austin.utexas.edu
George J. PappasUPS Foundation Professor, Electrical and Systems Engineering, University of PennsylvaniaVerified email at seas.upenn.edu
Amin KarbasiYale UniversityVerified email at yale.edu
Ramtin PedarsaniAssociate Professor, Electrical and Computer Engineering, UC Santa BarbaraVerified email at ece.ucsb.edu
Marco MondelliAssistant Professor, IST AustriaVerified email at ist.ac.at
Alex RobeyUniversity of PennsylvaniaVerified email at seas.upenn.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Amirhossein ReisizadehPostdoctoral Associate, MITVerified email at mit.edu
Zebang Shen 沈泽邦ETH ZürichVerified email at inf.ethz.ch
Mario LučićResearch Scientist, Google DeepMindVerified email at google.com
Aritra MitraAssistant Professor of Electrical and Computer Engineering, North Carolina State UniversityVerified email at ncsu.edu
Nicolas MacrisEcole Polytechnique Federale LausanneVerified email at epfl.ch
Olivier BachemResearch Scientist, Google BrainVerified email at google.com
Shirin Saeedi BidokhtiUniversity of PennsylvaniaVerified email at seas.upenn.edu
Manfred MorariElectrical and Systems Engineering, U. of PennsylvaniaVerified email at seas.upenn.edu
Alejandro RibeiroUniversity of PennsylvaniaVerified email at seas.upenn.edu
Liam CollinsUniversity of Texas at AustinVerified email at utexas.edu
Mahdi SoltanolkotabiUniversity of Southern CaliforniaVerified email at usc.edu
Edgar DobribanStatistics & Computer Science, University of PennsylvaniaVerified email at upenn.edu

Hamed Hassani

University of Pennsylvania

Verified email at seas.upenn.edu - Homepage

Machine Learning Coding and Information Theory Graphical Models...


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Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization A Reisizadeh, A Mokhtari, H Hassani, A Jadbabaie, R Pedarsani International Conference on Artificial Intelligence and Statistics, 2021-2031, 2020	554	2020
Efficient and accurate estimation of lipschitz constants for deep neural networks M Fazlyab, A Robey, H Hassani, M Morari, G Pappas Advances in Neural Information Processing Systems 32, 2019	348	2019
Exploiting shared representations for personalized federated learning L Collins, H Hassani, A Mokhtari, S Shakkottai International conference on machine learning, 2089-2099, 2021	284	2021
Finite-length scaling of polar codes SH Hassani, K Alishahi, R Urbanke arXiv preprint arXiv:1304.4778, 2013	178*	2013
Fast and provably good seedings for k-means O Bachem, M Lucic, H Hassani, A Krause Advances in neural information processing systems 29, 2016	177	2016
Approximate k-means++ in sublinear time O Bachem, M Lucic, SH Hassani, A Krause Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	156	2016
On the construction of polar codes R Pedarsani, SH Hassani, I Tal, E Telatar Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on …, 2011	144	2011
An exact quantized decentralized gradient descent algorithm A Reisizadeh, A Mokhtari, H Hassani, R Pedarsani IEEE Transactions on Signal Processing 67 (19), 4934-4947, 2019	143*	2019
Unified scaling of polar codes: Error exponent, scaling exponent, moderate deviations, and error floors M Mondelli, SH Hassani, RL Urbanke IEEE Transactions on Information Theory 62 (12), 6698-6712, 2016	136	2016
From polar to Reed-Muller codes: A technique to improve the finite-length performance M Mondelli, SH Hassani, RL Urbanke IEEE Transactions on Communications 62 (9), 3084-3091, 2014	132	2014
Growing a graph matching from a handful of seeds E Kazemi, SH Hassani, M Grossglauser Proceedings of the VLDB Endowment 8 (10), 1010-1021, 2015	128	2015
Gradient methods for submodular maximization H Hassani, M Soltanolkotabi, A Karbasi Advances in Neural Information Processing Systems 30, 2017	121	2017
Linear convergence in federated learning: Tackling client heterogeneity and sparse gradients A Mitra, R Jaafar, GJ Pappas, H Hassani Advances in Neural Information Processing Systems 34, 14606-14619, 2021	108*	2021
Stochastic conditional gradient methods: From convex minimization to submodular maximization A Mokhtari, H Hassani, A Karbasi The Journal of Machine Learning Research 21 (1), 4232-4280, 2020	107	2020
Age of information in random access channels X Chen, K Gatsis, H Hassani, SS Bidokhti IEEE Transactions on Information Theory 68 (10), 6548-6568, 2022	103	2022
Universal polar codes SH Hassani, R Urbanke 2014 IEEE International Symposium on Information Theory, 1451-1455, 2014	103	2014
How to achieve the capacity of asymmetric channels M Mondelli, R Urbanke, SH Hassani 2014 52nd Annual Allerton Conference on Communication, Control, and …, 2014	94*	2014
Achieving Marton’s region for broadcast channels using polar codes M Mondelli, SH Hassani, I Sason, RL Urbanke IEEE Transactions on Information Theory 61 (2), 783-800, 2014	93	2014
Robust and communication-efficient collaborative learning A Reisizadeh, H Taheri, A Mokhtari, H Hassani, R Pedarsani Advances in Neural Information Processing Systems 32, 2019	90	2019
Precise tradeoffs in adversarial training for linear regression A Javanmard, M Soltanolkotabi, H Hassani Conference on Learning Theory, 2034-2078, 2020	88	2020

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