Robust and communication-efficient collaborative learning A Reisizadeh, H Taheri, A Mokhtari, H Hassani, R Pedarsani Neural Information Processing Systems 32 (2019): 8388-8399, 2019 | 100 | 2019 |
Quantized Decentralized Stochastic Learning over Directed Graphs H Taheri, A Mokhtari, H Hassani, R Pedarsani International Conference on Machine Learning, 9324-9333, 2020 | 57* | 2020 |
Sharp asymptotics and optimal performance for inference in binary models H Taheri, R Pedarsani, C Thrampoulidis International Conference on Artificial Intelligence and Statistics, 3739-3749, 2020 | 45* | 2020 |
Fundamental limits of ridge-regularized empirical risk minimization in high dimensions H Taheri, R Pedarsani, C Thrampoulidis International Conference on Artificial Intelligence and Statistics, 2020 | 39 | 2020 |
Asymptotic behavior of adversarial training in binary linear classification H Taheri, R Pedarsani, C Thrampoulidis IEEE Transactions on Neural Networks and Learning Systems, 2023 | 23 | 2023 |
On the optimization and generalization of multi-head attention P Deora, R Ghaderi, H Taheri, C Thrampoulidis arXiv preprint arXiv:2310.12680, 2023 | 13 | 2023 |
On Generalization of Decentralized Learning with Separable Data H Taheri, C Thrampoulidis International Conference on Artificial Intelligence and Statistics, 4917-4945, 2023 | 8* | 2023 |
Generalization and stability of interpolating neural networks with minimal width H Taheri, C Thrampoulidis arXiv preprint arXiv:2302.09235, 2023 | 7 | 2023 |
Optimality of least-squares for classification in gaussian-mixture models H Taheri, R Pedarsani, C Thrampoulidis 2020 IEEE International Symposium on Information Theory (ISIT), 2515-2520, 2020 | 5 | 2020 |
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data H Taheri, C Thrampoulidis AAAI Conference on Artificial Intelligence, 2023 | 1 | 2023 |