@inproceedings{mirzaei2025empirical,title={An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications},author={Mirzaei, Erfan and Maurer, Andreas and Kostic, Vladimir and Pontil, Massimiliano},booktitle={International Conference on Artificial Intelligence and Statistics (AISTATS)},year={2025},}
Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime
Andreas Maurer, Erfan Mirzaei, and Massimiliano Pontil
@article{maurer2025generalization,title={Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime},author={Maurer, Andreas and Mirzaei, Erfan and Pontil, Massimiliano},journal={arXiv preprint arXiv:2510.06028},year={2025},}
kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning
Giacomo Turri, Grégoire Pacreau, Giacomo Meanti, Timothée Devergne, and 7 more authors
@article{turri2025kooplearn,title={kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning},author={Turri, Giacomo and Pacreau, Gr{\'e}goire and Meanti, Giacomo and Devergne, Timoth{\'e}e and Ordonez, Daniel and Mirzaei, Erfan and Belucci, Bruno and Lounici, Karim and Kostic, Vladimir and Pontil, Massimiliano and others},journal={arXiv preprint arXiv:2512.21409},year={2025},}
Exploiting Expertise of Non-Expert and Diverse Agents in Social Bandit Learning: A Free Energy Approach
Erfan Mirzaei, Seyed Pooya Shariatpanahi, Alireza Tavakoli, Reshad Hosseini, and 1 more author
IEEE Transactions on Cognitive and Developmental Systems, 2025
@article{mirzaei2025exploiting,title={Exploiting Expertise of Non-Expert and Diverse Agents in Social Bandit Learning: A Free Energy Approach},author={Mirzaei, Erfan and Shariatpanahi, Seyed Pooya and Tavakoli, Alireza and Hosseini, Reshad and Ahmadabadi, Majid Nili},journal={IEEE Transactions on Cognitive and Developmental Systems},year={2025},publisher={IEEE},}
@inproceedings{ghaemi2022biolcnet,title={BioLCNet: Reward-modulated locally connected spiking neural networks},author={Ghaemi, Hafez and Mirzaei, Erfan and Nouri, Mahbod and Kheradpisheh, Saeed Reza},booktitle={International Conference on Machine Learning, Optimization, and Data Science},pages={564--578},year={2022},organization={Springer},}