Nir Weinberger
9 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (9) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12)
β
The Questioner
Conferences
ICLR (3)
NIPS (2)
AISTATS (1)
COLT (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
convergence rate
(2)
gaussian mixture
(2)
robust regression
(1)
adversarial robustness
(1)
curriculum learning
(1)
feature distribution
(1)
expectation maximization
(1)
high-dimensional inference
(1)
mean estimation
(1)
adaptive learning
(1)
function space
(1)
covariance matrix
(1)
linear regression
(1)
minimum norm
(1)
minimax optimal
(1)
hidden markov model
(1)
gaussian mixture model
(1)
minimax lower bound
(1)
oblivious adversary
(1)
minimax error rate
(1)
Papers
When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
ICML 2025
On Bits and Bandits: Quantifying the Regret-Information Trade-off
ICLR 2025
Statistical curriculum learning: An elimination algorithm achieving an oracle risk
COLT 2024
A representation-learning game for classes of prediction tasks
ICLR 2024
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting β An Analytical Model
ICLR 2024
Robust Linear Regression for General Feature Distribution
AISTATS 2023
How do Minimum-Norm Shallow Denoisers Look in Function Space?
NIPS 2023
The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures
JMLR 2022
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
NIPS 2022