Fabian Latorre
9 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(23)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Core AI
(4)
Optimization
(4)
Optimization & Theory · Deep Learning
(2)
Application Areas
(1)
Architectures
(1)
Core Methods
(1)
Learning Types
(1)
Models
(1)
Techniques
(1)
Keywords
adversarial training
(3)
lipschitz constant
(3)
non-convex optimization
(2)
adversarial robustness
(2)
bilevel optimization
(2)
model robustness
(1)
sample complexity
(1)
sharpness-aware minimization
(1)
neural network optimization
(1)
intrinsic dimension
(1)
rademacher complexity
(1)
oracle complexity
(1)
polynomial optimization
(1)
0-1 loss
(1)
nuclear norm
(1)
generalization bound
(1)
proximal operator
(1)
alternating direction method of multiplier
(1)
generative adversarial network
(1)
neural network verification
(1)
Papers
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
ICLR 2024
Improving SAM Requires Rethinking its Optimization Formulation
ICML 2024
Finding Actual Descent Directions for Adversarial Training
ICLR 2023
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
ICLR 2022
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
NeurIPS 2021
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
ICML 2020
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization
ICLR 2020
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
NeurIPS 2019
Fast and Provable ADMM for Learning with Generative Priors
NeurIPS 2019