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Hamed Hassani
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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
2782020
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
1912019
Finite-length scaling of polar codes
SH Hassani, K Alishahi, R Urbanke
arXiv preprint arXiv:1304.4778, 2013
169*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
1392016
On the construction of polar codes
R Pedarsani, SH Hassani, I Tal, E Telatar
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on …, 2011
1362011
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
1212016
Approximate k-means++ in sublinear time
O Bachem, M Lucic, SH Hassani, A Krause
Thirtieth AAAI conference on artificial intelligence, 2016
1142016
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
1122014
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
1052015
Universal polar codes
SH Hassani, R Urbanke
2014 IEEE International Symposium on Information Theory, 1451-1455, 2014
972014
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
96*2019
Gradient methods for submodular maximization
H Hassani, M Soltanolkotabi, A Karbasi
Advances in Neural Information Processing Systems 30, 2017
902017
How to achieve the capacity of asymmetric channels
M Mondelli, R Urbanke, SH Hassani
2014 52nd Annual Allerton Conference on Communication, Control, and …, 2014
87*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
862014
Stochastic conditional gradient methods: From convex minimization to submodular maximization
A Mokhtari, H Hassani, A Karbasi
Journal of machine learning research, 2020
822020
Robust and communication-efficient collaborative learning
A Reisizadeh, H Taheri, A Mokhtari, H Hassani, R Pedarsani
Advances in Neural Information Processing Systems 32, 2019
672019
Rate-dependent analysis of the asymptotic behavior of channel polarization
SH Hassani, R Mori, T Tanaka, RL Urbanke
Information Theory, IEEE Transactions on 59 (4), 2267-2276, 2013
672013
The compound capacity of polar codes
SH Hassani, SB Korada, R Urbanke
2009 47th Annual Allerton Conference on Communication, Control, and …, 2009
662009
Coupled graphical models and their thresholds
SH Hassani, N Macris, R Urbanke
2010 IEEE Information Theory Workshop, 1-5, 2010
622010
Construction of polar codes with sublinear complexity
M Mondelli, SH Hassani, RL Urbanke
IEEE Transactions on Information Theory 65 (5), 2782-2791, 2018
552018
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