Guy Bresler
Guy Bresler
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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
The two‐user Gaussian interference channel: a deterministic view
G Bresler, D Tse
European transactions on telecommunications 19 (4), 333-354, 2008
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
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
Efficiently learning Ising models on arbitrary graphs
G Bresler
Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015
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
Information Theory of DNA Shotgun Sequencing
A Motahari, G Bresler, D Tse
IEEE Transactions on Information Theory, 1-1, 2013
Optimal assembly for high throughput shotgun sequencing
G Bresler, M Bresler, D Tse
BMC bioinformatics 14 (5), 1-13, 2013
Reducibility and computational lower bounds for problems with planted sparse structure
M Brennan, G Bresler, W Huleihel
Conference On Learning Theory, 48-166, 2018
A Latent Source Model for Online Collaborative Filtering
G Bresler, GH Chen, D Shah
Advances in Neural Information Processing Systems, 3347-3355, 2014
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
Reducibility and statistical-computational gaps from secret leakage
M Brennan, G Bresler
Conference on Learning Theory, 648-847, 2020
Learning a tree-structured Ising model in order to make predictions
G Bresler, M Karzand
The Annals of Statistics 48 (2), 713-737, 2020
Structure learning of antiferromagnetic Ising models
G Bresler, D Gamarnik, D Shah
Advances in Neural Information Processing Systems, 2852-2860, 2014
Optimal average-case reductions to sparse pca: From weak assumptions to strong hardness
M Brennan, G Bresler
Conference on Learning Theory, 469-470, 2019
Collaborative filtering with low regret
G Bresler, D Shah, LF Voloch
Proceedings of the 2016 ACM SIGMETRICS International Conference on …, 2016
Hardness of parameter estimation in graphical models
G Bresler, D Gamarnik, D Shah
Advances in Neural Information Processing Systems, 1062-1070, 2014
Statistical query algorithms and low-degree tests are almost equivalent
M Brennan, G Bresler, SB Hopkins, J Li, T Schramm
Conference on Learning Theory, 2021
Optimal single sample tests for structured versus unstructured network data
G Bresler, D Nagaraj
Conference On Learning Theory, 1657-1690, 2018
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
D Nagaraj, X Wu, G Bresler, P Jain, P Netrapalli
Advances in Neural Information Processing Systems 33, 2020
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