Amirhesam Abedsoltan

12 papers A* 3A 2Journal 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Task Generalization With AutoRegressive Compositional Structure: Can Learning From
CoRR
Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen, Hongzhou Lin, Jingzhao Zhang, Mikhail Belkin
2025 A* conf
Task Generalization with Autoregressive Compositional Structure: Can Learning from D Tasks Generalize to DT Tasks?
ICML
Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen, Hongzhou Lin, Jingzhao Zhang, Mikhail Belkin
2024 J jnl
Context-Scaling versus Task-Scaling in In-Context Learning.
CoRR
Amirhesam Abedsoltan, Adityanarayanan Radhakrishnan, Jingfeng Wu, Mikhail Belkin
2024 J jnl
Fast training of large kernel models with delayed projections.
CoRR
Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit, Mikhail Belkin
2024 A conf
On the Nyström Approximation for Preconditioning in Kernel Machines.
AISTATS
Amirhesam Abedsoltan, Parthe Pandit, Luis Rademacher, Mikhail Belkin
2024 A conf
Uncertainty Estimation with Recursive Feature Machines.
UAI
Daniel Gedon, Amirhesam Abedsoltan, Thomas B. Schön, Mikhail Belkin
2023 J jnl
On Emergence of Clean-Priority Learning in Early Stopped Neural Networks.
CoRR
Chaoyue Liu, Amirhesam Abedsoltan, Mikhail Belkin
2023 J jnl
On the Nystrom Approximation for Preconditioning in Kernel Machines.
CoRR
Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit, Luis Rademacher
2023 A* conf
Toward Large Kernel Models.
ICML
Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit
2023 J jnl
Toward Large Kernel Models.
CoRR
Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit
2022 J jnl
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting.
CoRR
Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran
2022 A* conf
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting.
NeurIPS
Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran