Guy Bresler
Guy Bresler
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
The approximate capacity of the many-to-one and one-to-many Gaussian interference channels
G Bresler, A Parekh, DNC Tse
Information Theory, IEEE Transactions on 56 (9), 4566-4592, 2010
3592010
The two‐user Gaussian interference channel: a deterministic view
G Bresler, D Tse
European transactions on telecommunications 19 (4), 333-354, 2008
2682008
Feasibility of Interference Alignment for the MIMO Interference Channel
G Bresler, D Cartwright, D Tse
Information Theory, IEEE Transactions on 60 (9), 5573-5586, 2014
218*2014
Mixing time of exponential random graphs
S Bhamidi, G Bresler, A Sly
2008 49th Annual IEEE Symposium on Foundations of Computer Science, 803-812, 2008
1802008
Efficiently learning Ising models on arbitrary graphs
G Bresler
Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015
1572015
Reconstruction of Markov Random Fields from Samples: Some Observations and Algorithms
G Bresler, E Mossel, A Sly
SIAM Journal on Computing 42 (2), 563-578, 2013
157*2013
Information Theory of DNA Shotgun Sequencing
A Motahari, G Bresler, D Tse
IEEE Transactions on Information Theory, 1-1, 2013
108*2013
Optimal assembly for high throughput shotgun sequencing
G Bresler, M Bresler, D Tse
BMC bioinformatics 14 (5), 1-13, 2013
742013
A Latent Source Model for Online Collaborative Filtering
G Bresler, GH Chen, D Shah
Advances in Neural Information Processing Systems, 3347-3355, 2014
642014
Reducibility and computational lower bounds for problems with planted sparse structure
M Brennan, G Bresler, W Huleihel
Conference On Learning Theory, 48-166, 2018
592018
3 user interference channel: Degrees of freedom as a function of channel diversity
G Bresler, DNC Tse
Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual …, 2009
49*2009
Structure learning of antiferromagnetic Ising models
G Bresler, D Gamarnik, D Shah
Advances in Neural Information Processing Systems, 2852-2860, 2014
372014
Learning a tree-structured Ising model in order to make predictions
G Bresler, M Karzand
The Annals of Statistics 48 (2), 713-737, 2020
362020
Reducibility and statistical-computational gaps from secret leakage
M Brennan, G Bresler
Conference on Learning Theory, 648-847, 2020
292020
Hardness of parameter estimation in graphical models
G Bresler, D Gamarnik, D Shah
Advances in Neural Information Processing Systems, 1062-1070, 2014
292014
Optimal average-case reductions to sparse pca: From weak assumptions to strong hardness
M Brennan, G Bresler
Conference on Learning Theory, 469-470, 2019
272019
Collaborative filtering with low regret
G Bresler, D Shah, LF Voloch
Proceedings of the 2016 ACM SIGMETRICS International Conference on …, 2016
27*2016
Optimal single sample tests for structured versus unstructured network data
G Bresler, D Nagaraj
Conference On Learning Theory, 1657-1690, 2018
202018
Learning restricted Boltzmann machines via influence maximization
G Bresler, F Koehler, A Moitra
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019
182019
Universality of computational lower bounds for submatrix detection
M Brennan, G Bresler, W Huleihel
Conference on Learning Theory, 417-468, 2019
152019
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