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Saber Salehkaleybar
Saber Salehkaleybar
Verified email at liacs.leidenuniv.nl
Title
Cited by
Cited by
Year
Budgeted experiment design for causal structure learning
AE Ghassami, S Salehkaleybar, N Kiyavash, E Bareinboim
International Conference on Machine Learning, 2018
692018
Learning causal structures using regression invariance
AE Ghassami, S Salehkaleybar, N Kiyavash, K Zhang
Neural Information Processing Systems, 2017
652017
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
S Salehkaleybar, AE Ghassami, N Kiyavash, K Zhang
Journal of Machine Learning Research 21, 39:1-39:24, 2020
392020
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU
B Zare, F Jafarinejad, M Hashemi, S Salehkaleybar
IEEE transactions on Parallel and Distributed Systems, 2018
38*2018
One-shot federated learning: theoretical limits and algorithms to achieve them
S Salehkaleybar, A Sharifnassab, SJ Golestani
Journal of Machine Learning Research, 2021
312021
Counting and sampling from Markov equivalent DAGs using clique trees
AE Ghassami, S Salehkaleybar, N Kiyavash, K Zhang
Proceedings of the AAAI conference on artificial intelligence 33 (01), 3664-3671, 2019
252019
Deep-learning-based blind recognition of channel code parameters over candidate sets under AWGN and multi-path fading conditions
S Dehdashtian, M Hashemi, S Salehkaleybar
IEEE Wireless Communications Letters 10 (5), 1041-1045, 2021
212021
Stochastic second-order methods improve best-known sample complexity of sgd for gradient-dominated functions
S Masiha, S Salehkaleybar, N He, N Kiyavash, P Thiran
Advances in Neural Information Processing Systems 35, 10862-10875, 2022
162022
Order optimal one-shot distributed learning
A Sharifnassab, S Salehkaleybar, SJ Golestani
Neural Information Processing Systems, 2019
142019
Distributed Voting/Ranking with Optimal Number of States per Node
S Salehkaleybar, A Sharif-Nassab, SJ Golestani
IEEE transactions on Signal and Information Processing over Networks, 2015
132015
Causal imitative model for autonomous driving
MR Samsami, M Bahari, S Salehkaleybar, A Alahi
arXiv preprint arXiv:2112.03908, 2021
122021
Interventional experiment design for causal structure learning
AE Ghassami, S Salehkaleybar, N Kiyavash
arXiv preprint arXiv:1910.05651, 2019
122019
gim: Gpu accelerated ris-based influence maximization algorithm
S Shahrouz, S Salehkaleybar, M Hashemi
IEEE Transactions on Parallel and Distributed Systems 32 (10), 2386-2399, 2021
112021
Seedless graph matching via tail of degree distribution for correlated erdos-renyi graphs
M Bozorg, S Salehkaleybar, M Hashemi
arXiv preprint arXiv:1907.06334, 2019
112019
Active learning of causal structures with deep reinforcement learning
A Amirinezhad, S Salehkaleybar, M Hashemi
Neural Networks 154, 22-30, 2022
102022
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
A AhmadiTeshnizi, S Salehkaleybar, N Kiyavash
International Conference on Machine Learning, 2020
102020
Momentum-Based Policy Gradient with Second-Order Information
S Salehkaleybar, S Khorasani, N Kiyavash, N He, P Thiran
arXiv preprint arXiv:2205.08253, 2022
92022
Bounds on over-parameterization for guaranteed existence of descent paths in shallow ReLU networks
A Sharifnassab, S Salehkaleybar, SJ Golestani
International conference on learning representations, 2019
92019
Optimal experiment design for causal discovery from fixed number of experiments
AE Ghassami, S Salehkaleybar, N Kiyavash
arXiv preprint arXiv:1702.08567, 2017
82017
A periodic jump-based rendezvous algorithm in cognitive radio networks
S Salehkaleybar, MR Pakravan
Computer Communications 79, 66-77, 2016
82016
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