Alireza Mousavi-Hosseini
7 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Keywords
feature learning
(3)
neural network
(3)
multi-index model
(2)
convergence rate
(2)
sampling algorithm
(2)
mean-field langevin dynamics
(2)
sample complexity
(1)
stochastic process
(1)
bayesian inference
(1)
high-dimensional learning
(1)
monte carlo sampling
(1)
oracle complexity
(1)
bayes optimal
(1)
bilevel optimization
(1)
convex optimization
(1)
heavy-tailed distribution
(1)
principal subspace
(1)
gradient descent
(1)
weight decay
(1)
generalization bound
(1)
Papers
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
ICLR 2025
Robust Feature Learning for Multi-Index Models in High Dimensions
ICLR 2025
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
NeurIPS 2024
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
NeurIPS 2024
Gradient-Based Feature Learning under Structured Data
NeurIPS 2023
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
ICLR 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
COLT 2023