Aaron Zweig
9 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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Unstoppable · Bronze
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Keyword Collector
(52)
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Research topics
Machine Learning
(8)
Core Methods
(6)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(4)
Mathematics & Optimization
(3)
Architectures
(3)
Interdisciplinary
(2)
Mathematics
(2)
Optimization & Theory · Deep Learning
(2)
Science
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Learning Paradigms
(1)
Models
(1)
Optimization
(1)
Keywords
symmetric neural network
(2)
information exponent
(2)
single-index model
(2)
representation learning
(2)
imitation learning
(1)
domain adaptation
(1)
stochastic gradient descent
(1)
neural network theory
(1)
feature learning
(1)
high-dimensional statistics
(1)
high-dimensional regression
(1)
trajectory inference
(1)
set representation
(1)
stationary distribution
(1)
continuous relaxation
(1)
sample complexity
(1)
probability measure
(1)
parameter identifiability
(1)
generalization bound
(1)
riemannian metric
(1)
Papers
Learning Lineage-guided Geodesics with Finsler Geometry
UAI 2026
Towards Identifiability of Interventional Stochastic Differential Equations
UAI 2026
Symmetric Single Index Learning
ICLR 2024
On Single-Index Models beyond Gaussian Data
NeurIPS 2023
Exponential Separations in Symmetric Neural Networks
NeurIPS 2022
A Functional Perspective on Learning Symmetric Functions with Neural Networks
ICML 2021
Provably Efficient Third-Person Imitation from Offline Observation
UAI 2020
Graphite: Iterative Generative Modeling of Graphs
ICML 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations
ICLR 2019