Research
Publications
Shaan Ul Haque, Sajad Khodadadian, Siva Theja Maguluri, "Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise", link: https://arxiv.org/pdf/2401.00364.pdf
Sajad Khodadadian, Thinh T. Doan, Justin Romberg, Siva Theja Maguluri, "Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm", Transactions on Automatic Control, Link: https://ieeexplore.ieee.org/document/9827586
Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri, "On Linear and Super-Linear Convergence of Natural Policy Gradient Algorithm", Systems & Control Letters Journal, Link: https://www.sciencedirect.com
Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri, "Federated Reinforcement Learning: Communication Efficient Algorithms and Convergence Analysis", ICML 2022 Oral presentation
I presented this work as a job talk in Virginia Tech, Feb 2023. The talk recording is here.
Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri, "Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation", IEEE Control Systems Letters, Link: https://ieeexplore.ieee.org/document/9766396
Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri, "On the Linear Convergence of Natural Policy Gradient Algorithm", 2021 60th IEEE Conference on Decision and Control (CDC), Link: https://ieeexplore.ieee.org/document/9682908
Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri, "Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm", ICML 2021, Link: http://proceedings.mlr.press/v139/khodadadian21a/khodadadian21a.pdf
Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash, “Impact of Data Processing on Fairness in Supervised Learning”, 2020 IEEE International Symposium on Information Theory, Link: https://ieeexplore.ieee.org/document/9517766
Sajad Khodadadian, Mohamed Nafea, AmirEmad Ghassami, Negar Kiyavash, “Fairness-aware Feature Selection, Under review
Sajad Khodadadian, Thinh T. Doan, Justin Romberg, Siva Theja Maguluri, "Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm", Theoretical Foundations of Reinforcement Learning, ICML 2020 workshop, video presentation here, arXiv: https://arxiv.org/abs/2101.10506
AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash, "Fairness in supervised learning: An information theoretic approach", 2018 IEEE International Symposium on Information Theory, Link: https://ieeexplore.ieee.org/document/8437807
Zahra Fayyaz, Mohammadreza Bahadorian, Jafar Doostmohammadi, Vandad Davoodni, Sajad Khodadadian, RezaLashgari, "Multifractal detrended fluctuation analysis of continuous neural time series in primate visual cortex", Journal of neuroscience methods, Link: https://www.sciencedirect.com/science/article/abs/pii/S0165027018303534