Follow
Ahmadreza Moradipari
Ahmadreza Moradipari
PhD, Electrical and Computer Engineering, UC Santa Barbara
Verified email at umail.ucsb.edu - Homepage
Title
Cited by
Cited by
Year
Pricing and routing mechanisms for differentiated services in an electric vehicle public charging station network
A Moradipari, M Alizadeh
IEEE Transactions on smart grid 11 (2), 1489-1499, 2019
882019
Safe Linear Thompson Sampling with Side Information
A Moradipari, S Amani, M Alizadeh, C Thrampoulidis
IEEE Transactions on Signal Processing, 2021, 2021
47*2021
Mobility-aware electric vehicle fast charging load models with geographical price variations
A Moradipari, N Tucker, M Alizadeh
IEEE Transactions on Transportation Electrification 7 (2), 554-565, 2020
36*2020
Stage-wise conservative linear bandits
A Moradipari, C Thrampoulidis, M Alizadeh
Advances in neural information processing systems 33, 11191-11201, 2020
322020
Constrained thompson sampling for real-time electricity pricing with grid reliability constraints
N Tucker, A Moradipari, M Alizadeh
IEEE Transactions on Smart Grid 11 (6), 4971-4983, 2020
212020
Linear thompson sampling under unknown linear constraints
A Moradipari, M Alizadeh, C Thrampoulidis
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
152020
Mobility-aware smart charging of electric bus fleets
A Moradipari, N Tucker, T Zhang, G Cezar, M Alizadeh
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
142020
Learning to dynamically price electricity demand based on multi-armed bandits
A Moradipari, C Silva, M Alizadeh
2018 IEEE global conference on signal and information processing (GlobalSIP …, 2018
132018
Pricing differentiated services in an electric vehicle public charging station network
A Moradipari, M Alizadeh
2018 IEEE Conference on Decision and Control (CDC), 6488-6494, 2018
82018
Feature and parameter selection in stochastic linear bandits
A Moradipari, B Turan, Y Abbasi-Yadkori, M Alizadeh, M Ghavamzadeh
International Conference on Machine Learning, 15927-15958, 2022
72022
Collaborative Multi-agent Stochastic Linear Bandits
A Moradipari, M Ghavamzadeh, M Alizadeh
2022 American Control Conference (ACC), 2761-2766, 2022
72022
Parameter and feature selection in stochastic linear bandits
A Moradipari, Y Abbasi-Yadkori, M Alizadeh, M Ghavamzadeh
arXiv preprint arXiv:2106.05378, 2021
62021
Using empirical covariance matrix in enhancing prediction accuracy of linear models with missing information
A Moradipari, S Shahsavari, A Esmaeili, F Marvasti
2017 International conference on sampling theory and applications (SampTA …, 2017
62017
Multi-Environment Meta-Learning in Stochastic Linear Bandits
A Moradipari, M Ghavamzadeh, T Rajabzadeh, C Thrampoulidis, ...
2022 IEEE International Symposium on Information Theory (ISIT), 1659-1664, 2022
42022
Coagent Networks Revisited
M Shokrian Zini, M Pedramfar, M Riemer, A Moradipari, M Liu
arXiv preprint arXiv:2001.10474, 2023
22023
Predicting parameters for modeling traffic participants
A Moradipari, S Bae, M Alizadeh, EM Pari, D Isele
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
22022
Safe linear bandits
A Moradipari, S Amani, M Aliradeh, C Thrampoulidis
2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-1, 2021
22021
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
A Moradipari, M Pedramfar, M Shokrian Zini, V Aggarwal
Advances in Neural Information Processing Systems 36, 2024
2024
Convex Methods for Constrained Linear Bandits
A Afsharrad, A Moradipari, S Lall
arXiv preprint arXiv:2311.04338, 2023
2023
Systems and methods for parameter prediction for agent modeling
A Moradipari, S Bae, EM Pari, DF Isele
US Patent App. 17/694,455, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–20