Amirhesam Abedsoltan
5 papers · 2022–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
❓
The Questioner
Venues
Top co-authors
Research topics
Keywords
kernel methods
(3)
kernel machine
(2)
model compression
(1)
stochastic gradient descent
(1)
feature learning
(1)
task generalization
(1)
compositional learning
(1)
gaussian process
(1)
gradient descent
(1)
eigenvalue decomposition
(1)
generalization error
(1)
kernel regression
(1)
distributed training
(1)
nyström approximation
(1)
benign overfitting
(1)
out-of-distribution detection
(1)
uncertainty estimation
(1)
model scaling
(1)
spectral preconditioning
(1)
neural network
(1)
Papers
Task Generalization with Autoregressive Compositional Structure: Can Learning from D Tasks Generalize to D^T Tasks?
ICML 2025
On the Nyström Approximation for Preconditioning in Kernel Machines
AISTATS 2024
Uncertainty Estimation with Recursive Feature Machines
UAI 2024
Toward Large Kernel Models
ICML 2023
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting
NeurIPS 2022