A. Sharifnassab, S. Ghiassian, S. Salehkaleybar, S. Kanoria, D. Schuurmans, Soft Preference Optimization: Aligning Language Models to Expert Distributions, NeurIPS submission, 2024.
A. Sharifnassab, S. Salehkaleybar, R. Sutton, MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters, NeurIPS submission, 2024.
K. Javed, A. Sharifnassab, R. Sutton, SwiftTD: A Fast and Robust Algorithm for Temporal Difference Learning, Submitted to RLC, 2024.
T. Degris, K. Javed, A. Sharifnassab, Y. Liu, R. Sutton, Step-size Optimization for Continual Learning, arXiv, 2024.
A. Sharifnassab and R. Sutton, Toward Efficient Gradient-Based Value Estimation, International Conference on Machine Learning (ICML), 2023.
A. Sharifnassab, S. Salehkaleybar, and S. J. Golestani, Order Optimal Bounds for One-Shot Federated Learning for non-Convex Loss Functions, IEEE Transactions on Information Theory, 2023.
A. Sharifnassab and J. N. Tsitsiklis, Jumping Fluid Models and Delay Stability of Max-Weight Dynamics in the Presence of Heavy-Tailed Traffic, Stochastic Systems, INFORMS, 2023.
S. Salehklaeybar, A. Sharifnassab, and S. J. Golestani, Method for distributed multi-choice voting/ranking, US Patent.
S. Salehkaleybar, A. Sharifnassab, and S. J. Golestani, One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them, Journal of Machine Learning Research (JMLR), 2021.
A. Sharifnassab, S. Salehkaleybar, and S. J. Golestani, Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks, International Conference on Learning Representations (ICLR) , 2020.
A. Sharifnassab, S. Salehkaleybar, and S. J. Golestani, Order Optimal One-Shot Distributed Learning, Advances in Neural Information Processing Systems (NeurIPS) 2019.
A. Sharifnassab and J. Golestani, When do trajectories have bounded sensitivity to cumulative perturbations?, arXiv preprint.
A. Sharifnassab, J. N. Tsitsiklis, and J. Golestani, Nonexpansive piecewise constant hybrid systems are conservative, arXiv preprint.
A. Sharifnassab, J. N. Tsitsiklis, and J. Golestani, Sensitivity to Cumulative Perturbations for a Class of Piecewise Constant Hybrid Systems, IEEE Transactions on Automatic Control, 2019.
A. Sharifnassab, J. N. Tsitsiklis, and J. Golestani, Fluctuation bounds for the Max-Weight policy with applications to state space collapse, Stochastic Systems, 2019.
A.Sharifnassab, S. J. Golestani, On the possibility of network scheduling with polynomial complexity and delay, IEEE/ACM Transactions on Networking, 2017.
M. Kharrat-Zadeh, A. Sharifnassab, M. Babaei-Zadeh, Invariancy of sparse recovery algorithms, IEEE Transactions on Information Theory, 2017.
S. Salehkaleybar, A. Sharifnassab, S. J. Golestani, Distributed voting/ranking with optimal number of states per node, IEEE Transactions on Signal and Information Processing over Networks, 2015.
A. Sharifnassab, F. Ashtian, Connectivity analysis of one-dimensional networks with arbitrary distribution for variable and fixed number of nodes, IEEE Transactions on Mobile Computing, pp 1425-1435, 2012.
A. Sharifnassab, M. Kharrat-Zadeh, M. Babaei-Zadeh, C. Jutten, How to use real-valued sparse recovery algorithms for complex-valued sparse recovery, Proceedings of the 20th European Signal Processing Conference (EUSIPCO), IEEE, 2012.