Adel Javanmard

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Andrea MontanariProfessor of Electrical Engineering and Statistics, Stanford UniversityZweryfikowany adres z stanford.edu
Federico Ricci-TersenghiProfessor of Theoretical Physics, "La Sapienza" University, RomaZweryfikowany adres z roma1.infn.it
Hamid NazerzadehApplied Science Director, Uber Technologies; previously, Associate Professor, USC Marshall School ofZweryfikowany adres z uber.com
Mohammad AlizadehAssociate Professor of Computer Science, MITZweryfikowany adres z csail.mit.edu
Sham M KakadeHarvard UniversityZweryfikowany adres z seas.harvard.edu
Daniel HsuColumbia UniversityZweryfikowany adres z cs.columbia.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAZweryfikowany adres z caltech.edu
Abbas MehrabianGoogle DeepMindZweryfikowany adres z deepmind.com
Hosein MohimaniAssistant Professor, Computational Biology Department, School of Computer Science, Carnegie MellonZweryfikowany adres z andrew.cmu.edu
Li ZhangMicrosoftZweryfikowany adres z microsoft.com
Benjamin Van RoyStanford UniversityZweryfikowany adres z stanford.edu
David TseThomas Kailath and Guanghan Xu Professor, Stanford UniversityZweryfikowany adres z stanford.edu
Thomas CourtadeAssociate Professor, UC BerkeleyZweryfikowany adres z berkeley.edu
Anand BhaskarFacebookZweryfikowany adres z fb.com
Sundar IyerCisco SystemsZweryfikowany adres z cs.stanford.edu
Yi LuProfessor of Electrical and Computer Engineering, University of IllinoisZweryfikowany adres z illinois.edu
Christian JuttenEmeritus Prof. of Statistical Signal Processing, Univ. Grenoble Alpes, Institut Universitaire deZweryfikowany adres z gipsa-lab.fr
"Yashodhan Kanoria" OR "Yash Kanor...Columbia Business SchoolZweryfikowany adres z columbia.edu

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Adel Javanmard

Associate Professor, University of Southern California

Zweryfikowany adres z usc.edu - Strona główna

Machine Learning algorithmic statistics probability theory


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Confidence intervals and hypothesis testing for high-dimensional regression A Javanmard, A Montanari The Journal of Machine Learning Research 15 (1), 2869-2909, 2014	921	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	409	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	283	2013
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling A Javanmard, A Montanari arXiv preprint arXiv:1211.5164, 2012	248	2012
Debiasing the lasso: Optimal sample size for gaussian designs A Javanmard, A Montanari	199	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	184	2014
Analysis of DCTCP: stability, convergence, and fairness M Alizadeh, A Javanmard, B Prabhakar ACM SIGMETRICS Performance Evaluation Review 39 (1), 73-84, 2011	168	2011
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
Phase transitions in semidefinite relaxations A Javanmard, A Montanari, F Ricci-Tersenghi Proceedings of the National Academy of Sciences 113 (16), E2218-E2223, 2016	136	2016
Dynamic pricing in high-dimensions A Javanmard, H Nazerzadeh The Journal of Machine Learning Research 20 (1), 315-363, 2019	123	2019
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	111	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	98	2018
Efficient reinforcement learning for high dimensional linear quadratic systems M Ibrahimi, A Javanmard, B Roy Advances in Neural Information Processing Systems 25, 2012	96	2012
Localization from incomplete noisy distance measurements A Javanmard, A Montanari Foundations of Computational Mathematics 13, 297-345, 2013	90	2013
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions N Golrezaei, A Javanmard, V Mirrokni https://poseidon01.ssrn.com/delivery.php?ID …, 2018	85	2018
Learning linear bayesian networks with latent variables A Anandkumar, D Hsu, A Javanmard, S Kakade International Conference on Machine Learning, 249-257, 2013	81	2013
Precise tradeoffs in adversarial training for linear regression A Javanmard, M Soltanolkotabi, H Hassani Conference on Learning Theory, 2034-2078, 2020	77	2020
Analysis of a two-layer neural network via displacement convexity A Javanmard, M Mondelli, A Montanari	57	2020
False discovery rate control via debiased lasso A Javanmard, H Javadi	57	2019
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	55	2015

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