Adel Javanmard
Cited by
Cited by
Confidence intervals and hypothesis testing for high-dimensional regression
A Javanmard, A Montanari
The Journal of Machine Learning Research 15 (1), 2869-2909, 2014
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
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
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling
A Javanmard, A Montanari
arXiv preprint arXiv:1211.5164, 2012
Debiasing the lasso: Optimal sample size for gaussian designs
A Javanmard, A Montanari
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
Analysis of DCTCP: stability, convergence, and fairness
M Alizadeh, A Javanmard, B Prabhakar
ACM SIGMETRICS Performance Evaluation Review 39 (1), 73-84, 2011
Phase transitions in semidefinite relaxations
A Javanmard, A Montanari, F Ricci-Tersenghi
Proceedings of the National Academy of Sciences 113 (16), E2218-E2223, 2016
Dynamic pricing in high-dimensions
A Javanmard, H Nazerzadeh
Journal of Machine Learning Research 20 (9), 1-49, 2019
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
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
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
Precise tradeoffs in adversarial training for linear regression
A Javanmard, M Soltanolkotabi, H Hassani
Conference on Learning Theory, 2034-2078, 2020
Learning linear bayesian networks with latent variables
A Anandkumar, D Hsu, A Javanmard, S Kakade
International Conference on Machine Learning, 249-257, 2013
Efficient reinforcement learning for high dimensional linear quadratic systems
M Ibrahimi, A Javanmard, B Roy
Advances in Neural Information Processing Systems 25, 2012
Localization from incomplete noisy distance measurements
A Javanmard, A Montanari
Foundations of Computational Mathematics 13, 297-345, 2013
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
N Golrezaei, A Javanmard, V Mirrokni …, 2018
False discovery rate control via debiased lasso
A Javanmard, H Javadi
Analysis of a two-layer neural network via displacement convexity
A Javanmard, M Mondelli, A Montanari
Precise statistical analysis of classification accuracies for adversarial training
A Javanmard, M Soltanolkotabi
The Annals of Statistics 50 (4), 2127-2156, 2022
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