Adam Oberman
5 papers · 2019–2022 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(11)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(5)
Deep Learning
(2)
Architectures
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Models
(1)
Optimization
(1)
Keywords
adversarial attack
(2)
image classification
(1)
stochastic gradient descent
(1)
adversarial robustness
(1)
optimal transport
(1)
generalization error
(1)
state representation
(1)
proximal optimization
(1)
constrained minimization
(1)
generative model
(1)
proximal operator
(1)
convergence rate
(1)
neural ordinary differential equation
(1)
adversarial perturbation
(1)
decision boundary
(1)
successor representation
(1)
effective dimension
(1)
nesterov acceleration
(1)
accelerated gradient method
(1)
lyapunov analysis
(1)
Papers
On the Generalization of Representations in Reinforcement Learning
AISTATS 2022
A Lyapunov analysis for accelerated gradient methods: from deterministic to stochastic case
AISTATS 2020
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
AISTATS 2020
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
ICML 2020
The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information
ICCV 2019