Adel Javanmard

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Andrea MontanariProfessor of Statistics and Mathematics, Stanford UniversityVerified email at stanford.edu
Mahdi SoltanolkotabiUniversity of Southern CaliforniaVerified email at usc.edu
Vahab MirrokniGoogle Fellow, VP, Google ResearchVerified email at google.com
Federico Ricci-TersenghiProfessor of Theoretical Physics, "La Sapienza" University, RomaVerified email at roma1.infn.it
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu
Mohammad MehrabiGraduate School of Business, Stanford UniversityVerified email at stanford.edu
Hamid NazerzadehApplied Science Director, Uber Technologies; previously, Associate Professor, USC Marshall School ofVerified email at uber.com
Mohammad AlizadehAssociate Professor of Computer Science, MITVerified email at csail.mit.edu
Hamed HassaniElectrical Engineering, Computer Science, and Statistics; University of PennsylvaniaVerified email at seas.upenn.edu
Morteza IbrahimiStanford UniversityVerified email at stanford.edu
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Abbas MehrabianGoogle DeepMindVerified email at deepmind.com
Omid HatamiPhD student, University of CambridgeVerified email at cam.ac.uk
Balaji PrabhakarVerified email at stanford.edu
Saieed AkbariProfessor of Mathematics, Sharif University of TechnologyVerified email at sharif.edu
Hosein MohimaniAssistant Professor, Computational Biology Department, School of Computer Science, Carnegie MellonVerified email at andrew.cmu.edu
Maziyar HamdiCPP InvestmentsVerified email at ece.ubc.ca
Li ZhangMicrosoftVerified email at microsoft.com

Adel Javanmard

Associate Professor, University of Southern California

Verified email at usc.edu - Homepage

Machine Learning algorithmic statistics probability theory


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Confidence intervals and hypothesis testing for high-dimensional regression A Javanmard, A Montanari The Journal of Machine Learning Research 15 (1), 2869-2909, 2014	981	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	434	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	302	2013
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling A Javanmard, A Montanari arXiv preprint arXiv:1211.5164, 2012	274	2012
Debiasing the lasso: Optimal sample size for gaussian designs A Javanmard, A Montanari	222	2018
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	197	2014
Analysis of DCTCP: stability, convergence, and fairness M Alizadeh, A Javanmard, B Prabhakar ACM SIGMETRICS Performance Evaluation Review 39 (1), 73-84, 2011	171	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	148	2016
Dynamic pricing in high-dimensions A Javanmard, H Nazerzadeh The Journal of Machine Learning Research 20 (1), 315-363, 2019	141	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	140	2008
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	117	2010
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	107	2018
Efficient reinforcement learning for high dimensional linear quadratic systems M Ibrahimi, A Javanmard, B Roy Advances in Neural Information Processing Systems 25, 2012	99	2012
Localization from incomplete noisy distance measurements A Javanmard, A Montanari Foundations of Computational Mathematics 13, 297-345, 2013	95	2013
Precise tradeoffs in adversarial training for linear regression A Javanmard, M Soltanolkotabi, H Hassani Conference on Learning Theory, 2034-2078, 2020	94	2020
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions N Golrezaei, A Javanmard, V Mirrokni https://poseidon01.ssrn.com/delivery.php?ID …, 2018	92	2018
Learning linear bayesian networks with latent variables A Anandkumar, D Hsu, A Javanmard, S Kakade International Conference on Machine Learning, 249-257, 2013	89	2013
False discovery rate control via debiased lasso A Javanmard, H Javadi	67	2019
Analysis of a two-layer neural network via displacement convexity A Javanmard, M Mondelli, A Montanari	63	2020
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	56	2015

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