Saber Salehkaleybar

IEEE Trans. Inf. Theory, April, 2024

Momentum-Based Policy Gradient with Second-Order Information.

[BibT_eX]

[DOI]

Mohammadsadegh Khorasani

Niao He

Patrick Thiran

Trans. Mach. Learn. Res., 2024

Complexity of Minimizing Projected-Gradient-Dominated Functions with Stochastic First-order Oracles.

[BibT_eX]

[DOI]

CoRR, 2024

Soft Preference Optimization: Aligning Language Models to Expert Distributions.

[BibT_eX]

[DOI]

CoRR, 2024

MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters.

[BibT_eX]

[DOI]

Arsalan Sharifnassab

Richard S. Sutton

CoRR, 2024

Causal Effect Identification in LiNGAM Models with Latent Confounders.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data.

[BibT_eX]

[DOI]

Yuqin Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

ParaLiNGAM: Parallel causal structure learning for linear non-Gaussian acyclic models.

[BibT_eX]

[DOI]

Amirhossein Shahbazinia

J. Parallel Distributed Comput., June, 2023

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Fast causal orientation learning in directed acyclic graphs.

[BibT_eX]

[DOI]

Ramin Safaeian

Mahmoud Tabandeh

Int. J. Approx. Reason., 2023

Efficiently Escaping Saddle Points for Non-Convex Policy Optimization.

[BibT_eX]

[DOI]

Matthias Grossglauser

CoRR, 2023

A Cross-Moment Approach for Causal Effect Estimation.

[BibT_eX]

[DOI]

Yaroslav Kivva

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Active learning of causal structures with deep reinforcement learning.

[BibT_eX]

[DOI]

Amir Amirinezhad

Neural Networks, 2022

Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions.

[BibT_eX]

[DOI]

CoRR, 2022

Adaptive Momentum-Based Policy Gradient with Second-Order Information.

[BibT_eX]

[DOI]

CoRR, 2022

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Deep-Learning-Based Blind Recognition of Channel Code Parameters Over Candidate Sets Under AWGN and Multi-Path Fading Conditions.

[BibT_eX]

[DOI]

Sepehr Dehdashtian

IEEE Wirel. Commun. Lett., 2021

gIM: GPU Accelerated RIS-Based Influence Maximization Algorithm.

[BibT_eX]

[DOI]

Soheil Shahrouz

IEEE Trans. Parallel Distributed Syst., 2021

Adversarial orthogonal regression: Two non-linear regressions for causal inference.

[BibT_eX]

[DOI]

M. Reza Heydari

Kun Zhang

Neural Networks, 2021

One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Causal Imitative Model for Autonomous Driving.

[BibT_eX]

[DOI]

Mohammad Reza Samsami

Mohammadhossein Bahari

Alexandre Alahi

CoRR, 2021

Order Optimal One-Shot Federated Learning for non-Convex Loss Functions.

[BibT_eX]

[DOI]

CoRR, 2021

2020

cuPC: CUDA-Based Parallel PC Algorithm for Causal Structure Learning on GPU.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

Distributed voting in beep model.

[BibT_eX]

[DOI]

Benyamin Ghojogh

Signal Process., 2020

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Broadcast distributed voting algorithm in population protocols.

[BibT_eX]

[DOI]

Hamidreza Bandealinaeini

IET Signal Process., 2020

GPU Accelerated RIS-based Influence Maximization Algorithm.

[BibT_eX]

[DOI]

Soheil Shahrouz

CoRR, 2020

Multi Variable-layer Neural Networks for Decoding Linear Codes.

[BibT_eX]

[DOI]

Samira Malek

Arash Amini

Proceedings of the Iran Workshop on Communication and Information Theory, 2020

LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments.

[BibT_eX]

[DOI]

Ali AhmadiTeshnizi

Proceedings of the 37th International Conference on Machine Learning, 2020

Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Interventional Experiment Design for Causal Structure Learning.

[BibT_eX]

[DOI]

AmirEmad Ghassami

CoRR, 2019

Seedless Graph Matching via Tail of Degree Distribution for Correlated Erdos-Renyi Graphs.

[BibT_eX]

[DOI]

Mahdi Bozorg

CoRR, 2019

Theoretical Limits of One-Shot Distributed Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Order Optimal One-Shot Distributed Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Counting and Sampling from Markov Equivalent DAGs Using Clique Trees.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Counting and Uniform Sampling from Markov Equivalent DAGs.

[BibT_eX]

[DOI]

AmirEmad Ghassami

CoRR, 2018

Budgeted Experiment Design for Causal Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Vector Autoregressive Models With Latent Processes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning Latent Networks in Vector Auto Regressive Models.

[BibT_eX]

[DOI]

Jalal Etesami

CoRR, 2017

Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments.

[BibT_eX]

[DOI]

AmirEmad Ghassami

CoRR, 2017

Learning Causal Structures Using Regression Invariance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Identifying nonlinear 1-step causal influences in presence of latent variables.

[BibT_eX]

[DOI]

Jalal Etesami

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Token-Based Function Computation with Memory.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2016

Distributed binary majority voting via exponential distribution.

[BibT_eX]

[DOI]

Sayyed Jamaloddin Golestani

IET Signal Process., 2016

A periodic jump-based rendezvous algorithm in cognitive radio networks.

[BibT_eX]

[DOI]

Mohammad Reza Pakravan

Comput. Commun., 2016

2015

Distributed Voting/Ranking With Optimal Number of States per Node.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2015

2013

Delay analysis and buffer management for random access in cognitive radio networks.

[BibT_eX]

[DOI]

Seyyed Arash Majd

Mohammad Reza Pakravan

Proceedings of the Iran Workshop on Communication and Information Theory, 2013

Averaging consensus over erasure channels via local synchronization.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2011

QoS-aware joint policies in cognitive radio networks.

[BibT_eX]

[DOI]