Hossein Taheri

Digit. Soc., December, 2025

Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods.

[BibT_eX]

[DOI]

Arya Mazumdar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

On the Optimization and Generalization of Multi-head Attention.

[BibT_eX]

[DOI]

Puneesh Deora

Rouzbeh Ghaderi

Trans. Mach. Learn. Res., 2024

Generalization and Stability of Interpolating Neural Networks with Minimal Width.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

2023

Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing.

[BibT_eX]

[DOI]

Md. Arifur Rahman

Jongyeop Kim

Proceedings of the 25th ACIS International Winter Conference on Software Engineering, 2023

On Generalization of Decentralized Learning with Separable Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Fast Convergence in Learning Two-Layer Neural Networks with Separable Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation.

[BibT_eX]

[DOI]

Maria Gonzalez Bocanegra

Mohammad Taheri

Sensors, 2022

Decentralized Learning with Separable Data: Generalization and Fast Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Asymptotic Behavior of Adversarial Training in Binary Linear Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models.

[BibT_eX]

[DOI]

Entropy, 2021

Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Asymptotic Behavior of Adversarial Training in Binary Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Optimality of Least-squares for Classification in Gaussian-Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

Quantized Decentralized Stochastic Learning over Directed Graphs.

[BibT_eX]

[DOI]

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

Sharp Asymptotics and Optimal Performance for Inference in Binary Models.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Robust and Communication-Efficient Collaborative Learning.

[BibT_eX]

[DOI]

Amirhossein Reisizadeh

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

Sharp Guarantees for Solving Random Equations with One-Bit Information.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2016

Model-based assistance-as-needed for robotic movement therapy after stroke.

[BibT_eX]

[DOI]