default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSaber Salehkaleybar
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j18]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): 2807-2830 (2024)- [j17]Saber Salehkaleybar, Mohammadsadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran:
Momentum-Based Policy Gradient with Second-Order Information. Trans. Mach. Learn. Res. 2024 (2024) - [c16]Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash:
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. AISTATS 2024: 3187-3195 - [c15]Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash:
Causal Effect Identification in LiNGAM Models with Latent Confounders. ICML 2024 - [i36]Arsalan Sharifnassab, Saber Salehkaleybar, Richard S. Sutton:
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters. CoRR abs/2402.02342 (2024) - [i35]Arsalan Sharifnassab, Sina Ghiassian, Saber Salehkaleybar, Surya Kanoria, Dale Schuurmans:
Soft Preference Optimization: Aligning Language Models to Expert Distributions. CoRR abs/2405.00747 (2024) - [i34]Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash:
Causal Effect Identification in LiNGAM Models with Latent Confounders. CoRR abs/2406.02049 (2024) - [i33]Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran:
Complexity of Minimizing Projected-Gradient-Dominated Functions with Stochastic First-order Oracles. CoRR abs/2408.01839 (2024) - 2023
- [j16]Ramin Safaeian, Saber Salehkaleybar, Mahmoud Tabandeh:
Fast causal orientation learning in directed acyclic graphs. Int. J. Approx. Reason. 153: 49-86 (2023) - [j15]Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash:
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models. J. Mach. Learn. Res. 24: 354:1-354:31 (2023) - [j14]Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi:
ParaLiNGAM: Parallel causal structure learning for linear non-Gaussian acyclic models. J. Parallel Distributed Comput. 176: 114-127 (2023) - [c14]Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash:
A Cross-Moment Approach for Causal Effect Estimation. NeurIPS 2023 - [i32]Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash:
A Cross-Moment Approach for Causal Effect Estimation. CoRR abs/2306.06263 (2023) - [i31]Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser:
Efficiently Escaping Saddle Points for Non-Convex Policy Optimization. CoRR abs/2311.08914 (2023) - [i30]Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash:
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. CoRR abs/2312.06091 (2023) - 2022
- [j13]Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi:
Active learning of causal structures with deep reinforcement learning. Neural Networks 154: 22-30 (2022) - [c13]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 - [i29]Saber Salehkaleybar, Sadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran:
Adaptive Momentum-Based Policy Gradient with Second-Order Information. CoRR abs/2205.08253 (2022) - [i28]Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash:
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models. CoRR abs/2205.10083 (2022) - [i27]Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran:
Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions. CoRR abs/2205.12856 (2022) - [i26]Ramin Safaeian, Saber Salehkaleybar, Mahmoud Tabandeh:
Fast Causal Orientation Learning in Directed Acyclic Graphs. CoRR abs/2205.13919 (2022) - 2021
- [j12]Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani:
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them. J. Mach. Learn. Res. 22: 189:1-189:47 (2021) - [j11]M. Reza Heydari, Saber Salehkaleybar, Kun Zhang:
Adversarial orthogonal regression: Two non-linear regressions for causal inference. Neural Networks 143: 66-73 (2021) - [j10]Soheil Shahrouz, Saber Salehkaleybar, Matin Hashemi:
gIM: GPU Accelerated RIS-Based Influence Maximization Algorithm. IEEE Trans. Parallel Distributed Syst. 32(10): 2386-2399 (2021) - [j9]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): 1041-1045 (2021) - [i25]Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani:
Order Optimal One-Shot Federated Learning for non-Convex Loss Functions. CoRR abs/2108.08677 (2021) - [i24]Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi:
ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models. CoRR abs/2109.13993 (2021) - [i23]Mohammad Reza Samsami, Mohammadhossein Bahari, Saber Salehkaleybar, Alexandre Alahi:
Causal Imitative Model for Autonomous Driving. CoRR abs/2112.03908 (2021) - 2020
- [j8]Hamidreza Bandealinaeini, Saber Salehkaleybar:
Broadcast distributed voting algorithm in population protocols. IET Signal Process. 14(10): 846-853 (2020) - [j7]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: 39:1-39:24 (2020) - [j6]Benyamin Ghojogh, Saber Salehkaleybar:
Distributed voting in beep model. Signal Process. 177: 107732 (2020) - [j5]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): 530-542 (2020) - [c12]Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani:
Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks. ICLR 2020 - [c11]Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash:
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. ICML 2020: 125-133 - [c10]Samira Malek, Saber Salehkaleybar, Arash Amini:
Multi Variable-layer Neural Networks for Decoding Linear Codes. IWCIT 2020: 1-6 - [i22]Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash:
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. CoRR abs/2006.09670 (2020) - [i21]Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi:
Active Learning of Causal Structures with Deep Reinforcement Learning. CoRR abs/2009.03009 (2020) - [i20]Soheil Shahrouz, Saber Salehkaleybar, Matin Hashemi:
GPU Accelerated RIS-based Influence Maximization Algorithm. CoRR abs/2009.07325 (2020) - [i19]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 abs/2009.07774 (2020)
2010 – 2019
- 2019
- [c9]AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang:
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. AAAI 2019: 3664-3671 - [c8]Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani:
Order Optimal One-Shot Distributed Learning. NeurIPS 2019: 2165-2174 - [i18]Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani:
Theoretical Limits of One-Shot Distributed Learning. CoRR abs/1905.04634 (2019) - [i17]Mahdi Bozorg, Saber Salehkaleybar, Matin Hashemi:
Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs. CoRR abs/1907.06334 (2019) - [i16]Hamidreza Bandealinaeini, Saber Salehkaleybar:
Broadcast Distributed Voting Algorithm in Population Protocols. CoRR abs/1907.06855 (2019) - [i15]Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang:
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. CoRR abs/1908.03932 (2019) - [i14]M. Reza Heydari, Saber Salehkaleybar, Kun Zhang:
Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference. CoRR abs/1909.04454 (2019) - [i13]AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash:
Interventional Experiment Design for Causal Structure Learning. CoRR abs/1910.05651 (2019) - [i12]Benyamin Ghojogh, Saber Salehkaleybar:
Distributed Voting in Beep Model. CoRR abs/1910.09882 (2019) - [i11]Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani:
Order Optimal One-Shot Distributed Learning. CoRR abs/1911.00731 (2019) - 2018
- [c7]Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang:
Learning Vector Autoregressive Models With Latent Processes. AAAI 2018: 4000-4007 - [c6]AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim:
Budgeted Experiment Design for Causal Structure Learning. ICML 2018: 1719-1728 - [i10]AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash:
Counting and Uniform Sampling from Markov Equivalent DAGs. CoRR abs/1802.01239 (2018) - [i9]Behrooz Zarebavani, Foad Jafarinejad, Matin Hashemi, Saber Salehkaleybar:
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU. CoRR abs/1812.08491 (2018) - 2017
- [c5]Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash:
Identifying nonlinear 1-step causal influences in presence of latent variables. ISIT 2017: 1341-1345 - [c4]AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang:
Learning Causal Structures Using Regression Invariance. NIPS 2017: 3011-3021 - [i8]Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash:
Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables. CoRR abs/1701.06605 (2017) - [i7]AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash:
Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments. CoRR abs/1702.08567 (2017) - [i6]Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash:
Learning Latent Networks in Vector Auto Regressive Models. CoRR abs/1702.08575 (2017) - [i5]Saber Salehkaleybar, S. Jamaloddin Golestani:
Token-based Function Computation with Memory. CoRR abs/1703.08831 (2017) - [i4]Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani:
Distributed Voting/Ranking with Optimal Number of States per Node. CoRR abs/1703.08838 (2017) - [i3]AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang:
Learning Causal Structures Using Regression Invariance. CoRR abs/1705.09644 (2017) - [i2]AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim:
Budgeted Experiment Design for Causal Structure Learning. CoRR abs/1709.03625 (2017) - 2016
- [j4]Saber Salehkaleybar, Mohammad Reza Pakravan:
A periodic jump-based rendezvous algorithm in cognitive radio networks. Comput. Commun. 79: 66-77 (2016) - [j3]Saber Salehkaleybar, Sayyed Jamaloddin Golestani:
Distributed binary majority voting via exponential distribution. IET Signal Process. 10(5): 532-542 (2016) - [j2]Saber Salehkaleybar, S. Jamaloddin Golestani:
Token-Based Function Computation with Memory. IEEE Trans. Parallel Distributed Syst. 27(6): 1811-1823 (2016) - 2015
- [j1]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): 259-267 (2015) - 2013
- [c3]Saber Salehkaleybar, S. Jamaloddin Golestani:
Averaging consensus over erasure channels via local synchronization. ISIT 2013: 1092-1096 - [c2]Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan:
Delay analysis and buffer management for random access in cognitive radio networks. IWCIT 2013: 1-6 - 2011
- [c1]Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan:
QoS-aware joint policies in cognitive radio networks. IWCMC 2011: 2220-2225 - 2010
- [i1]Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan:
QoS-Aware Joint Policies in Cognitive Radio Networks. CoRR abs/1010.3197 (2010)
Coauthor Index
aka: Sayyed Jamaloddin Golestani
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 22:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
