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Amirhesam Abedsoltan
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Benign, tempered, or catastrophic: A taxonomy of overfitting
N Mallinar, JB Simon, A Abedsoltan, P Pandit, M Belkin, P Nakkiran
36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
51*2022
Toward Large Kernel Models
A Abedsoltan, M Belkin, P Pandit
40th International Conference on Machine Learning (ICML2023), 2023
112023
On emergence of clean-priority learning in early stopped neural networks
C Liu, A Abedsoltan, M Belkin
arXiv preprint arXiv:2306.02533, 2023
22023
On the Nyström Approximation for Preconditioning in Kernel Machines
A Abedsoltan, P Pandit, L Rademacher, M Belkin
International Conference on Artificial Intelligence and Statistics, 3718-3726, 2024
2024
Uncertainty Estimation with Recursive Feature Machines
D Gedon, A Abedsoltan, TB Schön, M Belkin
The 40th Conference on Uncertainty in Artificial Intelligence, 2024
2024
UncertaintyEstimationwith RecursiveFeatureMachines
D Gedon, A Abedsoltan, TB Schön, M Belkin
On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination
D Gedon, A Abedsoltan, TB Schön, M Belkin
UniReps: the First Workshop on Unifying Representations in Neural Models, 0
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Articles 1–7