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Contact
Email: samani[AT]ucla[DOT]edu
About me
About me
I am a Ph.D. candidate in the Electrical and Computer Engineering department at University of California, Los Angeles. I am honored to work under supervision of Prof. Lin Yang.
Prior to joining UCLA, I received my M.Sc​. degree in December 2020 in Electrical and Computer Engineering from UC Santa Barbara where I was fortunate to be advised by Prof. Christos Thrampoulidis. I received my B.Sc. degree in Electrical Engineering and Economics in June 2018 from Sharif University of Technology, Iran.
News
June 2023: I will join PayPal as an AI Research Intern in Summer 2023.
April 2023: New paper on "Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost" is accepted at ICML 2023.
January 2023: New paper on "Provably Efficient Lifelong Reinforcement Learning with Linear Representation" is accepted at ICLR 2023.
October 2022: I will join Google as a Research Intern in Fall 2022.
September 2022: I was awarded an Amazon Doctoral Fellowship!
June 2022: I will join PayPal as an AI Research Intern in Summer 2022.
June 2022: I am a Ph.D. Candidate now :)
September 2021: New paper on "UCB-based Algorithms for Multinomial Logistic Regression Bandits" is accepted at NeurIPS 2021.
June 2021: I'll be participating in the Workshop on Reinforcement Learning Theory at ICML 2021 as part of the PC.
May 2021: New paper on "Safe Reinforcement Learning with Linear Function Approximation" is accepted at ICML 2021.
May 2021: New paper on "Safe Linear Thompson Sampling with Side Information" is accepted at IEEE Transactions on Signal Processing.
April 2021: New paper on "Regret Bound for Safe Gaussian Process Bandit Optimization" is accepted at ISIT 2021.
December 2020: New paper on "Decentralized Multi-Agent Linear Bandits with Safety Constraints" is accepted at AAAI 2021.
February 2020: New paper on "Generalized Linear Bandits with Safety Constraints" is accepted at ICASSP 2020.
September 2019: New paper on "Linear Stochastic Bandits Under Safety Constraints" is accepted at NeurIPS 2019.
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