Amirhesam Abedsoltan

2022202320244 30 17

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Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarVerified email at ucsd.edu
Parthe PanditThakur Family Chair Assistant Professor @ IIT BombayVerified email at iitb.ac.in
James B. SimonUC BerkeleyVerified email at berkeley.edu
Preetum NakkiranApple ML ResearchVerified email at cs.harvard.edu
Neil MallinarUC San DiegoVerified email at ucsd.edu
Chaoyue LiuUniversity of California, San DiegoVerified email at ucsd.edu
Luis RademacherDepartment of Mathematics, UC DavisVerified email at math.ucdavis.edu

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	44*	2022
Toward Large Kernel Models A Abedsoltan, M Belkin, P Pandit 40th International Conference on Machine Learning (ICML2023), 2023	6	2023
On emergence of clean-priority learning in early stopped neural networks C Liu, A Abedsoltan, M Belkin arXiv preprint arXiv:2306.02533, 2023	1	2023
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		2024
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, 2023		2023

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