Abedsoltan, Amirhesam

7 publications

NeurIPS 2025 Fast Training of Large Kernel Models with Delayed Projections Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit, Mikhail Belkin

ICML 2025 Task Generalization with Autoregressive Compositional Structure: Can Learning from $d$ Tasks Generalize to $D^T$ Tasks? Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen, Hongzhou Lin, Jingzhao Zhang, Mikhail Belkin

AISTATS 2024 On the Nyström Approximation for Preconditioning in Kernel Machines Amirhesam Abedsoltan, Parthe Pandit, Luis Rademacher, Mikhail Belkin

UAI 2024 Uncertainty Estimation with Recursive Feature Machines Daniel Gedon, Amirhesam Abedsoltan, Thomas B. Schön, Mikhail Belkin

NeurIPSW 2023 On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination Daniel Gedon, Amirhesam Abedsoltan, Thomas B. Schön, Mikhail Belkin

ICML 2023 Toward Large Kernel Models Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit

NeurIPS 2022 Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting Neil Mallinar, James Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran