Adel Javanmard

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Andrea MontanariProfessor of Statistics and Mathematics, Stanford UniversityE-mail confirmado em stanford.edu
Vahab MirrokniGoogle Fellow, VP, Google ResearchE-mail confirmado em google.com
Mahdi SoltanolkotabiUniversity of Southern CaliforniaE-mail confirmado em usc.edu
Mohammad MehrabiGraduate School of Business, Stanford UniversityE-mail confirmado em stanford.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityE-mail confirmado em princeton.edu
Federico Ricci-TersenghiProfessor of Theoretical Physics, "La Sapienza" University, RomaE-mail confirmado em roma1.infn.it
Mohammad AlizadehAssociate Professor of Computer Science, MITE-mail confirmado em csail.mit.edu
Hamid NazerzadehApplied Science Director, Uber Technologies; previously, Associate Professor, USC Marshall School ofE-mail confirmado em uber.com
Hamed HassaniUniversity of Pennsylvania (EE, CS, Stat)E-mail confirmado em seas.upenn.edu
Sham M KakadeHarvard UniversityE-mail confirmado em seas.harvard.edu
Daniel HsuColumbia UniversityE-mail confirmado em cs.columbia.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAE-mail confirmado em caltech.edu
Morteza IbrahimiStanford UniversityE-mail confirmado em stanford.edu
Balaji PrabhakarE-mail confirmado em stanford.edu
Abbas MehrabianGoogle DeepMindE-mail confirmado em deepmind.com
Omid HatamiPhD student, University of CambridgeE-mail confirmado em cam.ac.uk
Saieed AkbariProfessor of Mathematics, Sharif University of TechnologyE-mail confirmado em sharif.edu
Hosein MohimaniAssociate Professor, Computational Biology Department, School of Computer Science, Carnegie MellonE-mail confirmado em andrew.cmu.edu
Maziyar HamdiCPP InvestmentsE-mail confirmado em ece.ubc.ca
Li ZhangMicrosoftE-mail confirmado em microsoft.com

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Adel Javanmard

Professor, University of Southern California

E-mail confirmado em usc.edu - Página inicial

Machine Learning algorithmic statistics probability theory


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Confidence intervals and hypothesis testing for high-dimensional regression A Javanmard, A Montanari The Journal of Machine Learning Research 15 (1), 2869-2909, 2014	1122	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	476	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	314	2013
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling A Javanmard, A Montanari arXiv preprint arXiv:1211.5164, 2012	310	2012
Debiasing the lasso: Optimal sample size for gaussian designs A Javanmard, A Montanari	253	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	215	2014
Analysis of DCTCP: stability, convergence, and fairness M Alizadeh, A Javanmard, B Prabhakar ACM SIGMETRICS Performance Evaluation Review 39 (1), 73-84, 2011	184	2011
Dynamic pricing in high-dimensions A Javanmard, H Nazerzadeh Journal of Machine Learning Research 20 (9), 1-49, 2019	164	2019
Phase transitions in semidefinite relaxations A Javanmard, A Montanari, F Ricci-Tersenghi Proceedings of the National Academy of Sciences 113 (16), E2218-E2223, 2016	162	2016
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	144	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	134	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	126	2018
Precise tradeoffs in adversarial training for linear regression A Javanmard, M Soltanolkotabi, H Hassani Conference on Learning Theory, 2034-2078, 2020	124	2020
Learning linear bayesian networks with latent variables A Anandkumar, D Hsu, A Javanmard, S Kakade International Conference on Machine Learning, 249-257, 2013	112	2013
Efficient reinforcement learning for high dimensional linear quadratic systems M Ibrahimi, A Javanmard, B Roy Advances in Neural Information Processing Systems 25, 2012	108	2012
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions N Golrezaei, A Javanmard, V Mirrokni https://poseidon01.ssrn.com/delivery.php?ID …, 2018	107	2018
Localization from incomplete noisy distance measurements A Javanmard, A Montanari Foundations of Computational Mathematics 13, 297-345, 2013	100	2013
False discovery rate control via debiased lasso A Javanmard, H Javadi	76	2019
Precise statistical analysis of classification accuracies for adversarial training A Javanmard, M Soltanolkotabi The Annals of Statistics 50 (4), 2127-2156, 2022	73	2022
Analysis of a two-layer neural network via displacement convexity A Javanmard, M Mondelli, A Montanari	71	2020

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