Abbas Kazerouni

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Benjamin Van RoyStanford UniversityVerified email at stanford.edu
Daniel RussoColumbia UniversityVerified email at gsb.columbia.edu
Zheng WenGoogle DeepMindVerified email at google.com
Ian OsbandOpenAIVerified email at openai.com
Lawrence M. WeinProfessor Management Science, Stanford UniversityVerified email at stanford.edu
Yasin Abbasi YadkoriGoogle DeepMindVerified email at google.com
James F. BurgessBoston University School of Public HealthVerified email at bu.edu
Michael UnserProfessor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandVerified email at epfl.ch
Emrah BostanImage Scientist at AppleVerified email at apple.com
Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)Verified email at wustl.edu
Ayfer OzgurAssociate Professor of Electrical Engineering, Stanford UniversityVerified email at stanford.edu
F. Javier López MartínezEMERGIA Research Professor at Universidad de GranadaVerified email at ugr.es
Amir RashidinejadInfinera CorporationVerified email at infinera.com
farokh marvastiSharif University of Technology, EE and ACRIVerified email at sharif.edu
Andrea GoldsmithDean of Engineering and Applied Science, Doty Professor of Electrical Engineering
Reza EghbaliUniversity of California, San FranciscoVerified email at ucsf.edu

Abbas Kazerouni

Stanford University

Verified email at stanford.edu

Reinforcement Learning Artificial Intelligence Deep Learning Economics Operation Management


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Tutorial on Thompson Sampling DJ Russo, B Van Roy, A Kazerouni, I Osband, Z Wen Foundations and Trends® in Machine Learning 11 (1), 1-96, 2018	1250	2018
Conservative Contextual Linear Bandits A Kazerouni, M Ghavamzadeh, Y Abbasi-Yadkori, B Van Roy Advances in Neural Information Processing Systems (NIPS), 2017, 2017	121	2017
Optimal screening and donor management in a public stool bank A Kazerouni, J Burgess, LJ Burns, LM Wein Microbiome 3, 1-8, 2015	60	2015
Exploring the Efficacy of Pooled Stools in Fecal Microbiota Transplantation for Microbiota-associated Chronic Diseases A Kazerouni, LM Wein PloS one 12.1 (2017): e0163956., 2017	44	2017
Best arm identification in generalized linear bandits A Kazerouni, LM Wein Operations Research Letters 49 (3), 365-371, 2021	31	2021
Optimal online strategies for an energy harvesting system with Bernoulli energy recharges A Kazerouni, A Özgür 2015 13th International Symposium on Modeling and Optimization in Mobile, Ad …, 2015	29	2015
Bayesian denoising: From MAP to MMSE using consistent cycle spinning A Kazerouni, US Kamilov, E Bostan, M Unser IEEE Signal Processing Letters 20 (3), 249-252, 2013	29	2013
Multi-armed bandits with cost subsidy D Sinha, KA Sankararaman, A Kazerouni, V Avadhanula International Conference on Artificial Intelligence and Statistics, 3016-3024, 2021	22	2021
Active learning for skewed data sets A Kazerouni, Q Zhao, J Xie, S Tata, M Najork arXiv preprint arXiv:2005.11442, 2020	13	2020
Increasing capacity in massive MIMO cellular networks via small cells A Kazerouni, FJ Lopez-Martinez, A Goldsmith 2014 IEEE Globecom Workshops (GC Wkshps), 358-363, 2014	13	2014
Learning to price with reference effects A Kazerouni, B Van Roy arXiv preprint arXiv:1708.09020, 2017	6	2017
Effect of traffic-load dependent vehicle routing algorithm on the connectivity in VANETs A Kazerooni, F Ashtiani 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), 1-5, 2011	5	2011
BOW: First Real-World Demonstration of a Firewall-based Bayesian Optimization System for Wavelength Deployment Z Zhong, M Ghobadi, M Balandat, S Katti, A Kazerouni, J Leach, ... 2021 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2021	2	2021
Information-based Feature Selection F Farnia, A Kazerouni, A Babveyh CS229, 2018	2	2018
Systems and methods for active learning Q Zhao, A Kazerouni, S Tata, J Xie, M Najork US Patent 11,526,752, 2022	1	2022
Sequential hypothesis testing in a digital medium environment using continuous data A Kazerouni, M Ghavamzadeh US Patent 11,860,972, 2024		2024
Practical Policy Optimization with Personalized Experimentation M Garrard, H Wang, B Letham, S Singh, A Kazerouni, S Tan, Z Wang, ... arXiv preprint arXiv:2303.17648, 2023		2023
Sequential hypothesis testing in a digital medium environment using continuous data A Kazerouni, M Ghavamzadeh US Patent 11,042,603, 2021		2021
Conservative learning algorithm for safe personalized recommendation M Ghavamzadeh, A Kazerouni US Patent 11,004,011, 2021		2021

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