Nir Weinberger
9 papers · 2022–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird β The Questioner
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Research topics
Keywords
gaussian mixture
(2)
convergence rate
(2)
linear regression
(2)
dimensionality reduction
(1)
catastrophic forgetting
(1)
stochastic gradient descent
(1)
continual learning
(1)
adversarial robustness
(1)
game theory
(1)
parameter estimation
(1)
curriculum learning
(1)
feature distribution
(1)
expectation maximization
(1)
high-dimensional inference
(1)
adaptive learning
(1)
mean estimation
(1)
adaptive sampling
(1)
function space
(1)
regret minimization
(1)
robust regression
(1)
Papers
On Bits and Bandits: Quantifying the Regret-Information Trade-off
ICLR 2025
When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
ICML 2025
A representation-learning game for classes of prediction tasks
ICLR 2024
Statistical curriculum learning: An elimination algorithm achieving an oracle risk
COLT 2024
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting β An Analytical Model
ICLR 2024
How do Minimum-Norm Shallow Denoisers Look in Function Space?
NeurIPS 2023
Robust Linear Regression for General Feature Distribution
AISTATS 2023
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
NeurIPS 2022
The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures
JMLR 2022