Taheri, Hossein

10 publications

ICLR 2025 Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar

JMLR 2024 Generalization and Stability of Interpolating Neural Networks with Minimal Width Hossein Taheri, Christos Thrampoulidis

TMLR 2024 On the Optimization and Generalization of Multi-Head Attention Puneesh Deora, Rouzbeh Ghaderi, Hossein Taheri, Christos Thrampoulidis

AAAI 2023 Fast Convergence in Learning Two-Layer Neural Networks with Separable Data Hossein Taheri, Christos Thrampoulidis

AISTATS 2023 On Generalization of Decentralized Learning with Separable Data Hossein Taheri, Christos Thrampoulidis

NeurIPSW 2022 On Generalization of Decentralized Learning with Separable Data Hossein Taheri, Christos Thrampoulidis

AISTATS 2021 Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

ICML 2020 Quantized Decentralized Stochastic Learning over Directed Graphs Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani

AISTATS 2020 Sharp Asymptotics and Optimal Performance for Inference in Binary Models Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

NeurIPS 2019 Robust and Communication-Efficient Collaborative Learning Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani