Publications

Preprints

A. Amirinezhad, S. Salehkaleybar, and M. Hashemi, Active Learning of Causal Structures with Deep Reinforcement Learning.

S. Shahrouz, S. Salehkaleybar, and M. Hashemi, GPU Accelerated RIS-based Influence Maximization Algorithm.

S. Dehdashtian, M. Hashemi, and S. Salehkaleybar, Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions.

S. Salehkaleybar, A. Sharif-nassab, and S. J. Golestani, One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them.

M. R. Heydari, S. Salehkaleybar, K. Zhang, Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference.

M. Bozorg, S. Salehkaleybar, M. Hashemi, Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs.

Published Papers

H. Bandealinaeini, S. Salehkaleybar, Broadcast Distributed Voting Algorithm in Population Protocols, IET Signal Processing, 2021.

B. Ghojogh, S. Salehkaleybar, Distributed Voting for Beep Model, Signal Processing, 2020.

A. AhmadiTeshnizi, S. Salehkaleybar, N. Kiyavash, LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments, 37th International Conference on Machine Learning (ICML), 2020.

S. Malek, S. Salehkaleybar, A. Amini, Multi Variable-layer Neural Networks for Decoding Linear Codes, IWCIT, 2020.

S. Salehkaleybar, A. Ghassami, N. Kiyavash, and K. Zhang, Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables, Journal of Machine Learning Research (JMLR), 2020.

A. Sharif-nassab, S. Salehklaeybar, and S. J. Golestani, Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks , Eighth International Conference on Learning Representations (ICLR), 2020.

A. Sharif-nassab, S. Salehkaleybar, and S. J. Golestani, Order Optimal One-Shot Distributed Learning, 33rd Conference on Neural Information Processing Systems (NeurIPS), 2019.

B. Zarebavani, F. Jafarinejad, M. Hashemi, and S. Salehkaleybar, cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU, IEEE transactions on Parallel and Distributed Systems, 2019.

A. Ghassami, S. Salehkaleybar, N. Kiyavash, K. Zhang, Counting and Sampling from Markov Equivalent DAGs Using Clique Trees, 33rd AAAI Conference on Artificial Intelligence (AAAI), 2018.

A. Ghassami, S. Salehkaleybar, N. Kiyavash, E. Bareinboim, Budgeted Experiment Design for Causal Structure Learning, 35th International Conference on Machine Learning (ICML), 2018.

S. Salehkaleybar, J. Etesami, N. Kiyavash, K. Zhang, Learning Vector Autoregressive Models with Latent Processes, 32nd AAAI Conference on Artificial Intelligence (AAAI), 2017.

A. Ghassami, S. Salehkaleybar, N. Kiyavash, Kun Zhang, Learning Causal Structures Using Regression Invariance, 31st Conference on Neural Information Processing Systems (NIPS), 2017.

S. Salehkaleybar, J. Etesami, N. Kiyavash, Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables, International Symposium on Information Theory, 2017.

S. Salehkaleybar, M. R. Pakravan, A Periodic Jump-based Rendezvous Algorithm in Cognitive Radio Networks, Computer Communications, 2016.

S. Salehkaleybar, A. Sharif-nasab, S. J. Golestani, Distributed Voting/Ranking with Optimal Number of States per Node, IEEE transactions on Signal and Information Processing over Networks, 2015.

S. Salehkaleybar, S. J. Golestani, Token-based Function Computation with Memory, IEEE transactions on Parallel and Distributed Systems, 2015.

S. Salehkaleybar, S. J. Golestani, Distributed Binary Majority Voting via Exponential Distribution, IET Signal Processing, 2015.

S. Salehkaleybar, S. J. Golestani, Averaging Consensus over Erasure Channels via Local Synchronization, International Symposium on Information Theory, 2013.

S. A. Majd, S. Salehkaleybar, M. R. Pakravan, Multi-user Opportunistic Spectrum Access with Channel Impairments, AEU International Journal of Electronics and Communications, 2013.

S. Salehkaleybar, S. A. Majd, M. R. Pakravan, Delay Analysis and Buffer Management for Random Access in Cognitive Radio Networks, in proceeding of IWCIT, 2012.

S. Salehkaleybar, S. A. Majd, M. R. Pakravan, QoS Aware Joint Policies in Cognitive Radio Networks, in proceeding of IWCMC, 2011.

S. Salehkaleybar, S. A. Majd, M. R. Pakravan, An Upper Bound on the Throughput for Myopic Policy in Multi-channel Opportunistic Access, in proceeding of IST, 2010.