Saber Salehkaleybar

87 papers A* 13A 3B 3Journal 64Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics. AAAI Lincen Yang, Zhong Li, Matthijs van Leeuwen, Saber Salehkaleybar
2026	J	`jnl`	Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems. CoRR Gijs van Seeventer, Saber Salehkaleybar
2025	J	`jnl`	ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder. CoRR Andreas Sauter, Saber Salehkaleybar, Aske Plaat, Erman Acar
2025	A	`conf`	Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. UAI Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash
2025	J	`jnl`	Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments. CoRR Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash
2025	A*	`conf`	Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants. ICML Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash, Mathias Drton
2025	J	`jnl`	Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants. CoRR Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash
2025	J	`jnl`	Causal Reasoning in Pieces: Modular In-Context Learning for Causal Discovery. CoRR Kacper Kadziolka, Saber Salehkaleybar
2025	A	`conf`	Efficiently Escaping Saddle Points for Policy Optimization. UAI Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser
2025	J	`jnl`	Fusing Rewards and Preferences in Reinforcement Learning. CoRR Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser
2025	A*	`conf`	Hierarchical Reinforcement Learning with Targeted Causal Interventions. ICML Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser
2025	J	`jnl`	Hierarchical Reinforcement Learning with Targeted Causal Interventions. CoRR Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser
2025	J	`jnl`	Learning Subgroups with Maximum Treatment Effects without Causal Heuristics. CoRR Lincen Yang, Zhong Li, Matthijs van Leeuwen, Saber Salehkaleybar
2025	A*	`conf`	MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters. ICML Arsalan Sharifnassab, Saber Salehkaleybar, Richard S. Sutton
2025	—	`conf`	Multi-Domain Causal Discovery in Bijective Causal Models. CLeaR Kasra Jalaldoust, Saber Salehkaleybar, Negar Kiyavash
2025	J	`jnl`	Multi-Domain Causal Discovery in Bijective Causal Models. CoRR Kasra Jalaldoust, Saber Salehkaleybar, Negar Kiyavash
2025	J	`jnl`	Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models. CoRR Ehsan Sharifian, Saber Salehkaleybar, Negar Kiyavash
2024	A*	`conf`	Causal Effect Identification in LiNGAM Models with Latent Confounders. ICML Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash
2024	J	`jnl`	Causal Effect Identification in LiNGAM Models with Latent Confounders. CoRR Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash
2024	J	`jnl`	Complexity of Minimizing Projected-Gradient-Dominated Functions with Stochastic First-order Oracles. CoRR Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran
2024	A	`conf`	Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. AISTATS Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash
2024	J	`jnl`	MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters. CoRR Arsalan Sharifnassab, Saber Salehkaleybar, Richard S. Sutton
2024	J	`jnl`	Momentum-Based Policy Gradient with Second-Order Information. Trans. Mach. Learn. Res. Saber Salehkaleybar, Mohammadsadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran
2024	J	`jnl`	Order Optimal Bounds for One-Shot Federated Learning Over Non-Convex Loss Functions. IEEE Trans. Inf. Theory Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
2024	J	`jnl`	Soft Preference Optimization: Aligning Language Models to Expert Distributions. CoRR Arsalan Sharifnassab, Sina Ghiassian, Saber Salehkaleybar, Surya Kanoria, Dale Schuurmans
2023	A*	`conf`	A Cross-Moment Approach for Causal Effect Estimation. NeurIPS Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash
2023	J	`jnl`	A Cross-Moment Approach for Causal Effect Estimation. CoRR Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash
2023	J	`jnl`	A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models. J. Mach. Learn. Res. Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash
2023	J	`jnl`	Efficiently Escaping Saddle Points for Non-Convex Policy Optimization. CoRR Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser
2023	J	`jnl`	Fast causal orientation learning in directed acyclic graphs. Int. J. Approx. Reason. Ramin Safaeian, Saber Salehkaleybar, Mahmoud Tabandeh
2023	J	`jnl`	Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. CoRR Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash
2023	J	`jnl`	ParaLiNGAM: Parallel causal structure learning for linear non-Gaussian acyclic models. J. Parallel Distributed Comput. Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi
2022	J	`jnl`	A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models. CoRR Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash
2022	J	`jnl`	Active learning of causal structures with deep reinforcement learning. Neural Networks Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi
2022	J	`jnl`	Adaptive Momentum-Based Policy Gradient with Second-Order Information. CoRR Saber Salehkaleybar, Sadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran
2022	J	`jnl`	Fast Causal Orientation Learning in Directed Acyclic Graphs. CoRR Ramin Safaeian, Saber Salehkaleybar, Mahmoud Tabandeh
2022	A*	`conf`	Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions. NeurIPS Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran
2022	J	`jnl`	Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions. CoRR Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran
2021	J	`jnl`	Adversarial orthogonal regression: Two non-linear regressions for causal inference. Neural Networks M. Reza Heydari, Saber Salehkaleybar, Kun Zhang
2021	J	`jnl`	Causal Imitative Model for Autonomous Driving. CoRR Mohammad Reza Samsami, Mohammadhossein Bahari, Saber Salehkaleybar, Alexandre Alahi
2021	J	`jnl`	Deep-Learning-Based Blind Recognition of Channel Code Parameters Over Candidate Sets Under AWGN and Multi-Path Fading Conditions. IEEE Wirel. Commun. Lett. Sepehr Dehdashtian, Matin Hashemi, Saber Salehkaleybar
2021	J	`jnl`	One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them. J. Mach. Learn. Res. Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani
2021	J	`jnl`	Order Optimal One-Shot Federated Learning for non-Convex Loss Functions. CoRR Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
2021	J	`jnl`	ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models. CoRR Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi
2021	J	`jnl`	gIM: GPU Accelerated RIS-Based Influence Maximization Algorithm. IEEE Trans. Parallel Distributed Syst. Soheil Shahrouz, Saber Salehkaleybar, Matin Hashemi
2020	J	`jnl`	Active Learning of Causal Structures with Deep Reinforcement Learning. CoRR Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi
2020	A*	`conf`	Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks. ICLR Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
2020	J	`jnl`	Broadcast distributed voting algorithm in population protocols. IET Signal Process. Hamidreza Bandealinaeini, Saber Salehkaleybar
2020	J	`jnl`	Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions. CoRR Sepehr Dehdashtian, Matin Hashemi, Saber Salehkaleybar
2020	J	`jnl`	Distributed voting in beep model. Signal Process. Benyamin Ghojogh, Saber Salehkaleybar
2020	J	`jnl`	GPU Accelerated RIS-based Influence Maximization Algorithm. CoRR Soheil Shahrouz, Saber Salehkaleybar, Matin Hashemi
2020	A*	`conf`	LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. ICML Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash
2020	J	`jnl`	LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments. CoRR Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash
2020	J	`jnl`	Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. J. Mach. Learn. Res. Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang
2020	—	`conf`	Multi Variable-layer Neural Networks for Decoding Linear Codes. IWCIT Samira Malek, Saber Salehkaleybar, Arash Amini
2020	J	`jnl`	cuPC: CUDA-Based Parallel PC Algorithm for Causal Structure Learning on GPU. IEEE Trans. Parallel Distributed Syst. Behrooz Zarebavani, Foad Jafarinejad, Matin Hashemi, Saber Salehkaleybar
2019	J	`jnl`	Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference. CoRR M. Reza Heydari, Saber Salehkaleybar, Kun Zhang
2019	J	`jnl`	Broadcast Distributed Voting Algorithm in Population Protocols. CoRR Hamidreza Bandealinaeini, Saber Salehkaleybar
2019	A*	`conf`	Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. AAAI AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
2019	J	`jnl`	Distributed Voting in Beep Model. CoRR Benyamin Ghojogh, Saber Salehkaleybar
2019	J	`jnl`	Interventional Experiment Design for Causal Structure Learning. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
2019	J	`jnl`	Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables. CoRR Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang
2019	A*	`conf`	Order Optimal One-Shot Distributed Learning. NeurIPS Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
2019	J	`jnl`	Order Optimal One-Shot Distributed Learning. CoRR Arsalan Sharif-Nassab, Saber Salehkaleybar, S. Jamaloddin Golestani
2019	J	`jnl`	Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs. CoRR Mahdi Bozorg, Saber Salehkaleybar, Matin Hashemi
2019	J	`jnl`	Theoretical Limits of One-Shot Distributed Learning. CoRR Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani
2018	A*	`conf`	Budgeted Experiment Design for Causal Structure Learning. ICML AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim
2018	J	`jnl`	Counting and Uniform Sampling from Markov Equivalent DAGs. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
2018	A*	`conf`	Learning Vector Autoregressive Models With Latent Processes. AAAI Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang
2018	J	`jnl`	cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU. CoRR Behrooz Zarebavani, Foad Jafarinejad, Matin Hashemi, Saber Salehkaleybar
2017	J	`jnl`	Budgeted Experiment Design for Causal Structure Learning. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim
2017	J	`jnl`	Distributed Voting/Ranking with Optimal Number of States per Node. CoRR Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani
2017	J	`jnl`	Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables. CoRR Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
2017	B	`conf`	Identifying nonlinear 1-step causal influences in presence of latent variables. ISIT Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
2017	—	`conf`	Learning Causal Structures Using Regression Invariance. NIPS AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
2017	J	`jnl`	Learning Causal Structures Using Regression Invariance. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
2017	J	`jnl`	Learning Latent Networks in Vector Auto Regressive Models. CoRR Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash
2017	J	`jnl`	Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments. CoRR AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
2017	J	`jnl`	Token-based Function Computation with Memory. CoRR Saber Salehkaleybar, S. Jamaloddin Golestani
2016	J	`jnl`	A periodic jump-based rendezvous algorithm in cognitive radio networks. Comput. Commun. Saber Salehkaleybar, Mohammad Reza Pakravan
2016	J	`jnl`	Distributed binary majority voting via exponential distribution. IET Signal Process. Saber Salehkaleybar, Sayyed Jamaloddin Golestani
2016	J	`jnl`	Token-Based Function Computation with Memory. IEEE Trans. Parallel Distributed Syst. Saber Salehkaleybar, S. Jamaloddin Golestani
2015	J	`jnl`	Distributed Voting/Ranking With Optimal Number of States per Node. IEEE Trans. Signal Inf. Process. over Networks Saber Salehkaleybar, Arsalan Sharif-Nassab, S. Jamaloddin Golestani
2013	B	`conf`	Averaging consensus over erasure channels via local synchronization. ISIT Saber Salehkaleybar, S. Jamaloddin Golestani
2013	—	`conf`	Delay analysis and buffer management for random access in cognitive radio networks. IWCIT Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan
2011	B	`conf`	QoS-aware joint policies in cognitive radio networks. IWCMC Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan
2010	J	`jnl`	QoS-Aware Joint Policies in Cognitive Radio Networks CoRR Saber Salehkaleybar, Seyyed Arash Majd, Mohammad Reza Pakravan