Alex Damian
9 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π
Conference Polyglot
(4)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
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Cross-Pollinator
(15)
Conferences
NIPS (4)
COLT (2)
ICLR (2)
ICML (1)
Top co-authors
Keywords
sample complexity
(2)
stochastic gradient descent
(2)
feature learning
(1)
in-context learning
(1)
neural network optimization
(1)
statistical query
(1)
label noise
(1)
gradient descent
(1)
high-dimensional regression
(1)
computational-statistical gaps
(1)
learning rate
(1)
hessian eigenvalue
(1)
implicit regularization
(1)
low-degree polynomial
(1)
zeroth-order optimization
(1)
low-rank adaptation
(1)
parameter-efficient tuning
(1)
single-index model
(1)
hierarchical feature
(1)
single index model
(1)
Papers
Learning Compositional Functions with Transformers from Easy-to-Hard Data
COLT 2025
Understanding Optimization in Deep Learning with Central Flows
ICLR 2025
How Transformers Learn Causal Structure with Gradient Descent
ICML 2024
Computational-Statistical Gaps in Gaussian Single-Index Models (Extended Abstract)
COLT 2024
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
NIPS 2023
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
ICLR 2023
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
NIPS 2023
Fine-Tuning Language Models with Just Forward Passes
NIPS 2023
Label Noise SGD Provably Prefers Flat Global Minimizers
NIPS 2021