Khashayar Khosravi

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Mohsen BayatiProfessor, Stanford UniversityVerifierad e-postadress på stanford.edu
Nick DoudchenkoSoftware Engineer, GoogleVerifierad e-postadress på google.com
guido imbensStanford UniversityVerifierad e-postadress på stanford.edu
Richard Socheryou.comVerifierad e-postadress på stanford.edu
Susan AtheyThe Economics of Technology Professor, Stanford University Graduate School of BusinessVerifierad e-postadress på stanford.edu
Hamsa BastaniAssociate Professor of Operations Information and Decisions, Wharton SchoolVerifierad e-postadress på wharton.upenn.edu
Hakan InanStanford University, Meta AIVerifierad e-postadress på stanford.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityVerifierad e-postadress på stanford.edu
Feng RuanDepartment of EECS, University of California, BerkeleyVerifierad e-postadress på berkeley.edu
Ramesh JohariProfessor, Management Science and Engineering, Stanford UniversityVerifierad e-postadress på stanford.edu
Vahab MirrokniGoogle Fellow, VP, Google ResearchVerifierad e-postadress på google.com
Nima HamidiQuantitative ResearcherVerifierad e-postadress på stanford.edu
Sébastien LahaieGoogle ResearchVerifierad e-postadress på google.com
Jann SpiessStanford UniversityVerifierad e-postadress på stanford.edu
Jean Pouget-AbadieGoogle ResearchVerifierad e-postadress på google.com
Amin KarbasiRobust Intelligence, Yale University (on leave)Verifierad e-postadress på yale.edu
Dongruo ZhouIndiana University BloomingtonVerifierad e-postadress på iu.edu
Quanquan GuAssociate Professor of Computer Science, UCLAVerifierad e-postadress på cs.ucla.edu
Iman GholampourAssistant Professor, Sharif University of TechnologyVerifierad e-postadress på sharif.edu
Greg LewisAmazonVerifierad e-postadress på microsoft.com

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Khashayar Khosravi

Quantitative Researcher

Verifierad e-postadress på stanford.edu - Startsida

Multi-armed bandits causal inference operations research statistics machine learning


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Matrix completion methods for causal panel data models S Athey, M Bayati, N Doudchenko, G Imbens, K Khosravi Journal of the American Statistical Association 116 (536), 1716-1730, 2021	748	2021
Tying word vectors and word classifiers: A loss framework for language modeling H Inan, K Khosravi, R Socher International Conference on Learning Representations (ICLR), 2017	448	2017
Mostly exploration-free algorithms for contextual bandits H Bastani, M Bayati, K Khosravi Management Science 67 (3), 1329-1349, 2021	232*	2021
Multiclass classification, information, divergence and surrogate risk J Duchi, K Khosravi, F Ruan The Annals of Statistics 46 (6B), 3246-3275, 2018	53	2018
The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms M Bayati, N Hamidi, R Johari, K Khosravi Advances in Neural Information Processing Systems 33, 2020	45	2020
Batched neural bandits Q Gu, A Karbasi, K Khosravi, V Mirrokni, D Zhou ACM/JMS Journal of Data Science 1 (1), 1-18, 2024	26	2024
Synthetic design: An optimization approach to experimental design with synthetic controls N Doudchenko, K Khosravi, J Pouget-Abadie, S Lahaie, M Lubin, ... Advances in Neural Information Processing Systems 34, 8691-8701, 2021	17	2021
Non-parametric inference adaptive to intrinsic dimension K Khosravi, G Lewis, V Syrgkanis arXiv preprint arXiv:1901.03719, 2019	13	2019
Improved learning through augmenting the loss H Inan, K Khosravi stanford. edu, 2016	5	2016
Bandits with deterministically evolving states K Khosravi, RP Leme, C Podimata, A Tsorvantzis arXiv preprint arXiv:2307.11655, 2023	4	2023
Steganographic schemes with multiple q-ary changes per block of pixels I Gholampour, K Khosravi Signal Processing 108, 206-219, 2015	4	2015
Interpolation of steganographic schemes I Gholampour, K Khosravi Signal processing 98, 23-36, 2014	4	2014
Performance-Based Digital Content Delivery in a Digital Medium Environment K Modarresi, K Khosravi US Patent App. 15/667,558, 2019	3	2019
Preferences Evolve and so Should Your Bandits: Bandits with Evolving States for Online Platforms K Khosravi, RP Leme, C Podimata, A Tsorvantzis Proceedings of the 25th ACM Conference on Economics and Computation, 101-101, 2024		2024
Learning, Decision-making, and Inference with Limited Experimentation K Khosravi Stanford University, 2019		2019
Optimal detection of the best offer in a campaign K Modarresi, K Khosravi US Patent App. 15/348,865, 2018		2018
Finding the Winner of a Hypothesis Test via Sample Allocation Optimization K Modarresi, K Khosravi Procedia Computer Science 108, 1040-1049, 2017		2017
SUPPLEMENTARY MATERIAL: INFORMATION, EXPERIMENTS, MULTI-CATEGORY HYPOTHESIS TESTS, AND SURROGATE LOSSES FOR MULTICLASS CLASSIFICATION J Duchi, K Khosravi, F Ruan

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