Aaron Zweig
7 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (5) π Cross-Pollinator (15) π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (13)
π§
Keyword Pioneer
π₯
Unstoppable
(6)
Conferences
ICLR (2)
ICML (2)
NIPS (2)
UAI (1)
Top co-authors
Keywords
representation learning
(1)
stochastic gradient descent
(1)
link prediction
(1)
feature learning
(1)
imitation learning
(1)
domain adaptation
(1)
density estimation
(1)
sample complexity
(1)
neural network theory
(1)
high-dimensional statistics
(1)
high-dimensional regression
(1)
set representation
(1)
probability measure
(1)
generalization bound
(1)
variational autoencoder
(1)
node classification
(1)
approximation theory
(1)
policy transfer
(1)
single-index model
(1)
information exponent
(1)
Papers
Symmetric Single Index Learning
ICLR 2024
On Single-Index Models beyond Gaussian Data
NIPS 2023
Exponential Separations in Symmetric Neural Networks
NIPS 2022
A Functional Perspective on Learning Symmetric Functions with Neural Networks
ICML 2021
Provably Efficient Third-Person Imitation from Offline Observation
UAI 2020
Stochastic Optimization of Sorting Networks via Continuous Relaxations
ICLR 2019
Graphite: Iterative Generative Modeling of Graphs
ICML 2019