Saber Salehkaleybar

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 62

Top Topics

Causal Structure

Gpu Accelerated

Structure Learning

Top Venues

IEEE Trans. Parallel Distributed Syst.

IET Signal Process.

Publications

Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash
Causal Effect Identification in LiNGAM Models with Latent Confounders. CoRR (2024)
Arsalan Sharifnassab, Saber Salehkaleybar, Richard S. Sutton
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters. CoRR (2024)
Saber Salehkaleybar, Mohammadsadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran
Momentum-Based Policy Gradient with Second-Order Information. Trans. Mach. Learn. Res. 2024 (2024)
Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. AISTATS (2024)
Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
Order Optimal Bounds for One-Shot Federated Learning Over Non-Convex Loss Functions. IEEE Trans. Inf. Theory 70 (4) (2024)
Arsalan Sharifnassab, Sina Ghiassian, Saber Salehkaleybar, Surya Kanoria, Dale Schuurmans
Soft Preference Optimization: Aligning Language Models to Expert Distributions. CoRR (2024)
Ramin Safaeian, Saber Salehkaleybar, Mahmoud Tabandeh
Fast causal orientation learning in directed acyclic graphs. Int. J. Approx. Reason. 153 (2023)
Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi
ParaLiNGAM: Parallel causal structure learning for linear non-Gaussian acyclic models. J. Parallel Distributed Comput. 176 (2023)
Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash
A Cross-Moment Approach for Causal Effect Estimation. CoRR (2023)
Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. CoRR (2023)
Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser
Efficiently Escaping Saddle Points for Non-Convex Policy Optimization. CoRR (2023)
Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash
A Cross-Moment Approach for Causal Effect Estimation. NeurIPS (2023)
Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi
Active learning of causal structures with deep reinforcement learning. Neural Networks 154 (2022)
Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models. CoRR (2022)
Saber Salehkaleybar, Sadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran
Adaptive Momentum-Based Policy Gradient with Second-Order Information. CoRR (2022)
Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions. NeurIPS (2022)
Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran
Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions. CoRR (2022)
Ramin Safaeian, Saber Salehkaleybar, Mahmoud Tabandeh
Fast Causal Orientation Learning in Directed Acyclic Graphs. CoRR (2022)
Mohammad Reza Samsami, Mohammadhossein Bahari, Saber Salehkaleybar, Alexandre Alahi
Causal Imitative Model for Autonomous Driving. CoRR (2021)
Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
Order Optimal One-Shot Federated Learning for non-Convex Loss Functions. CoRR (2021)
Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi
ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models. CoRR (2021)
Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them. J. Mach. Learn. Res. 22 (2021)
M. Reza Heydari, Saber Salehkaleybar, Kun Zhang
Adversarial orthogonal regression: Two non-linear regressions for causal inference. Neural Networks 143 (2021)
Soheil Shahrouz, Saber Salehkaleybar, Matin Hashemi
gIM: GPU Accelerated RIS-Based Influence Maximization Algorithm. IEEE Trans. Parallel Distributed Syst. 32 (10) (2021)
Sepehr Dehdashtian, Matin Hashemi, Saber Salehkaleybar
Deep-Learning-Based Blind Recognition of Channel Code Parameters Over Candidate Sets Under AWGN and Multi-Path Fading Conditions. IEEE Wirel. Commun. Lett. 10 (5) (2021)
Behrooz Zarebavani, Foad Jafarinejad, Matin Hashemi, Saber Salehkaleybar
cuPC: CUDA-Based Parallel PC Algorithm for Causal Structure Learning on GPU. IEEE Trans. Parallel Distributed Syst. 31 (3) (2020)
Soheil Shahrouz, Saber Salehkaleybar, Matin Hashemi
GPU Accelerated RIS-based Influence Maximization Algorithm. CoRR (2020)
Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks. ICLR (2020)
Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi
Active Learning of Causal Structures with Deep Reinforcement Learning. CoRR (2020)
Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. CoRR (2020)
Benyamin Ghojogh, Saber Salehkaleybar
Distributed voting in beep model. Signal Process. 177 (2020)
Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. J. Mach. Learn. Res. 21 (2020)
Samira Malek, Saber Salehkaleybar, Arash Amini
Multi Variable-layer Neural Networks for Decoding Linear Codes. IWCIT (2020)
Sepehr Dehdashtian, Matin Hashemi, Saber Salehkaleybar
Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions. CoRR (2020)
Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. ICML (2020)
Hamidreza Bandealinaeini, Saber Salehkaleybar
Broadcast distributed voting algorithm in population protocols. IET Signal Process. 14 (10) (2020)
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
Interventional Experiment Design for Causal Structure Learning. CoRR (2019)
Benyamin Ghojogh, Saber Salehkaleybar
Distributed Voting in Beep Model. CoRR (2019)
Mahdi Bozorg, Saber Salehkaleybar, Matin Hashemi
Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs. CoRR (2019)
Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
Order Optimal One-Shot Distributed Learning. NeurIPS (2019)
Hamidreza Bandealinaeini, Saber Salehkaleybar
Broadcast Distributed Voting Algorithm in Population Protocols. CoRR (2019)
Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani
Theoretical Limits of One-Shot Distributed Learning. CoRR (2019)
M. Reza Heydari, Saber Salehkaleybar, Kun Zhang
Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference. CoRR (2019)
Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. CoRR (2019)
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. AAAI (2019)
Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
Order Optimal One-Shot Distributed Learning. CoRR (2019)
Behrooz Zarebavani, Foad Jafarinejad, Matin Hashemi, Saber Salehkaleybar
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU. CoRR (2018)
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
Counting and Uniform Sampling from Markov Equivalent DAGs. CoRR (2018)
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim
Budgeted Experiment Design for Causal Structure Learning. ICML (2018)
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang
Learning Vector Autoregressive Models With Latent Processes. AAAI (2018)
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments. CoRR (2017)
Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani
Distributed Voting/Ranking with Optimal Number of States per Node. CoRR (2017)
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables. CoRR (2017)
Saber Salehkaleybar, S. Jamaloddin Golestani
Token-based Function Computation with Memory. CoRR (2017)
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
Identifying nonlinear 1-step causal influences in presence of latent variables. ISIT (2017)
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
Learning Causal Structures Using Regression Invariance. CoRR (2017)
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
Learning Causal Structures Using Regression Invariance. NIPS (2017)
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
Learning Latent Networks in Vector Auto Regressive Models. CoRR (2017)
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim
Budgeted Experiment Design for Causal Structure Learning. CoRR (2017)
Saber Salehkaleybar, S. Jamaloddin Golestani
Token-Based Function Computation with Memory. IEEE Trans. Parallel Distributed Syst. 27 (6) (2016)
Saber Salehkaleybar, Sayyed Jamaloddin Golestani
Distributed binary majority voting via exponential distribution. IET Signal Process. 10 (5) (2016)
Saber Salehkaleybar, Mohammad Reza Pakravan
A periodic jump-based rendezvous algorithm in cognitive radio networks. Comput. Commun. 79 (2016)
Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani
Distributed Voting/Ranking With Optimal Number of States per Node. IEEE Trans. Signal Inf. Process. over Networks 1 (4) (2015)
Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan
Delay analysis and buffer management for random access in cognitive radio networks. IWCIT (2013)
Saber Salehkaleybar, S. Jamaloddin Golestani
Averaging consensus over erasure channels via local synchronization. ISIT (2013)
Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan
QoS-aware joint policies in cognitive radio networks. IWCMC (2011)
Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan
QoS-Aware Joint Policies in Cognitive Radio Networks CoRR (2010)