Adel Javanmard
Adel Javanmard
Verified email at marshall.usc.edu - Homepage
TitleCited byYear
Confidence intervals and hypothesis testing for high-dimensional regression
A Javanmard, A Montanari
The Journal of Machine Learning Research 15 (1), 2869-2909, 2014
4312014
Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing
DL Donoho, A Javanmard, A Montanari
IEEE Transaction on Information Theory 59 (11), 7434-7464, 2013
1782013
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling
A Javanmard, A Montanari
arXiv preprint arXiv:1211.5164, 2012
1232012
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
M Soltanolkotabi, A Javanmard, JD Lee
IEEE Transactions on Information Theory 65 (2), 742-769, 2018
1182018
Mobility modeling, spatial traffic distribution, and probability of connectivity for sparse and dense vehicular ad hoc networks
GH Mohimani, F Ashtiani, A Javanmard, M Hamdi
IEEE Transactions on Vehicular Technology 58 (4), 1998-2007, 2008
1092008
Random design analysis of ridge regression
D Hsu, SM Kakade, T Zhang
Conference on learning theory, 9.1-9.24, 2012
1082012
Hypothesis testing in high-dimensional regression under the gaussian random design model: Asymptotic theory
A Javanmard, A Montanari
IEEE Transactions on Information Theory 60 (10), 6522-6554, 2014
1062014
Analysis of DCTCP: stability, convergence, and fairness
M Alizadeh, A Javanmard, B Prabhakar
Proceedings of the ACM SIGMETRICS joint international conference on …, 2011
862011
Phase transitions in semidefinite relaxations
A Javanmard, A Montanari, F Ricci-Tersenghi
Proceedings of the National Academy of Sciences 113 (16), E2218-E2223, 2016
742016
Localization from incomplete noisy distance measurements
A Javanmard, A Montanari
Foundations of Computational Mathematics 13 (3), 297-345, 2013
622013
Debiasing the lasso: Optimal sample size for gaussian designs
A Javanmard, A Montanari
The Annals of Statistics 46 (6A), 2593-2622, 2018
592018
Learning linear bayesian networks with latent variables
A Anandkumar, D Hsu, A Javanmard, S Kakade
International Conference on Machine Learning, 249-257, 2013
502013
Selected microbial groups and short-chain fatty acids profile in a simulated chicken cecum supplemented with two strains of Lactobacillus
A Meimandipour, M Shuhaimi, AF Soleimani, K Azhar, M Hair-Bejo, ...
Poultry Science 89 (3), 470-476, 2010
472010
Online rules for control of false discovery rate and false discovery exceedance
A Javanmard, A Montanari
The Annals of statistics 46 (2), 526-554, 2018
342018
Efficient reinforcement learning for high dimensional linear quadratic systems
M Ibrahimi, A Javanmard, BV Roy
Advances in Neural Information Processing Systems, 2636-2644, 2012
322012
1-bit matrix completion under exact low-rank constraint
SA Bhaskar, A Javanmard
2015 49th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2015
302015
Dynamic pricing in high-dimensions
A Javanmard, H Nazerzadeh
The Journal of Machine Learning Research 20 (1), 315-363, 2019
292019
Zero-sum flows in regular graphs
S Akbari, A Daemi, O Hatami, A Javanmard, A Mehrabian
Graphs and Combinatorics 26 (5), 603-615, 2010
282010
On online control of false discovery rate
A Javanmard, A Montanari
arXiv preprint arXiv:1502.06197, 2015
212015
Nearly optimal sample size in hypothesis testing for high-dimensional regression
A Javanmard, A Montanari
2013 51st Annual Allerton Conference on Communication, Control, and …, 2013
162013
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Articles 1–20