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Emmanuel Abbe
Emmanuel Abbe
Professor EPFL, Senior Research Scientist Apple
Geverifieerd e-mailadres voor epfl.ch - Homepage
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Jaar
Community detection and stochastic block models: recent developments
E Abbe
Journal of Machine Learning Research 18 (177), 1-86, 2018
15702018
Exact recovery in the stochastic block model
E Abbe, AS Bandeira, G Hall
IEEE Transactions on information theory 62 (1), 471-487, 2015
7392015
Community detection in general stochastic block models: Fundamental limits and efficient algorithms for recovery
E Abbe, C Sandon
2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 670-688, 2015
5062015
Entrywise eigenvector analysis of random matrices with low expected rank
E Abbe, J Fan, K Wang, Y Zhong
Annals of statistics 48 (3), 1452, 2020
3322020
Polar Codes for the m-User Multiple Access Channel
E ABBE, E TELATAR
IEEE transactions on information theory 58 (8), 5437-5448, 2012
202*2012
Proof of the achievability conjectures for the general stochastic block model
E Abbe, C Sandon
Communications on Pure and Applied Mathematics 71 (7), 1334-1406, 2018
196*2018
Communication-computation efficient gradient coding
M Ye, E Abbe
International Conference on Machine Learning, 5610-5619, 2018
1912018
Decoding binary node labels from censored edge measurements: Phase transition and efficient recovery
E Abbe, AS Bandeira, A Bracher, A Singer
IEEE Transactions on Network Science and Engineering 1 (1), 10-22, 2014
1342014
Chaining mutual information and tightening generalization bounds
A Asadi, E Abbe, S Verdú
Advances in Neural Information Processing Systems 31, 2018
1332018
Polar coding for secret-key generation
RA Chou, MR Bloch, E Abbe
IEEE Transactions on Information Theory 61 (11), 6213-6237, 2015
1312015
Polar codes for broadcast channels
N Goela, E Abbe, M Gastpar
IEEE Transactions on Information Theory 61 (2), 758-782, 2014
1292014
The merged-staircase property: a necessary and nearly sufficient condition for sgd learning of sparse functions on two-layer neural networks
E Abbe, EB Adsera, T Misiakiewicz
Conference on Learning Theory, 4782-4887, 2022
1212022
Asymptotic mutual information for the balanced binary stochastic block model
Y Deshpande, E Abbe, A Montanari
Information and Inference: A Journal of the IMA 6 (2), 125-170, 2017
1152017
Recovering communities in the general stochastic block model without knowing the parameters
E Abbe, C Sandon
Advances in neural information processing systems 28, 2015
1122015
Privacy-preserving methods for sharing financial risk exposures
EA Abbe, AE Khandani, AW Lo
American Economic Review 102 (3), 65-70, 2012
1072012
Reed-Muller codes for random erasures and errors
E Abbe, A Shpilka, A Wigderson
Proceedings of the forty-seventh annual ACM symposium on Theory of Computing …, 2015
962015
Normalization and correlation of cross-nested logit models
E Abbe, M Bierlaire, T Toledo
Transportation Research Part B: Methodological 41 (7), 795-808, 2007
942007
Reed–Muller codes: Theory and algorithms
E Abbe, A Shpilka, M Ye
IEEE Transactions on Information Theory 67 (6), 3251-3277, 2020
912020
Sgd learning on neural networks: leap complexity and saddle-to-saddle dynamics
E Abbe, EB Adsera, T Misiakiewicz
The Thirty Sixth Annual Conference on Learning Theory, 2552-2623, 2023
832023
Recursive projection-aggregation decoding of Reed-Muller codes
M Ye, E Abbe
IEEE Transactions on Information Theory 66 (8), 4948-4965, 2020
812020
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Artikelen 1–20