Nima Hamidi

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Mohsen BayatiProfessor, Stanford UniversityVerificeret mail på stanford.edu
Khashayar KhosraviQuantitative ResearcherVerificeret mail på stanford.edu
Ramesh JohariProfessor, Management Science and Engineering, Stanford UniversityVerificeret mail på stanford.edu

Nima Hamidi

Quantitative Researcher

Verificeret mail på stanford.edu - Startside


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	32	2020
On Worst-case Regret of Linear Thompson Sampling N Hamidi, M Bayati arXiv preprint arXiv:2006.06790, 2020	25	2020
On low-rank trace regression under general sampling distribution N Hamidi, M Bayati The Journal of Machine Learning Research 23 (1), 14424-14472, 2022	20	2022
A General Theory of the Stochastic Linear Bandit and Its Applications N Hamidi, M Bayati arXiv preprint arXiv:2002.05152, 2020	7*	2020
Personalizing many decisions with high-dimensional covariates N Hamidi, M Bayati, K Gupta Advances in Neural Information Processing Systems 32, 2019	6	2019
The Elliptical Potential Lemma for General Distributions with an Application to Linear Thompson Sampling N Hamidi, M Bayati Operations Research, 2022	3*	2022
Minimax Regret Bounds for Stochastic Linear Bandit Algorithms N Hamidi Stanford University, 2021		2021

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