Aaron M Ferber
8 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(6)
Mathematics & Optimization
(6)
Optimization
(6)
Machine Learning
(5)
Optimization & Theory
(4)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Architectures
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Keywords
contrastive learning
(3)
combinatorial optimization
(3)
langevin dynamics
(1)
constrained optimization
(1)
adversarial learning
(1)
algorithmic fairness
(1)
variational inference
(1)
generative model
(1)
end-to-end learning
(1)
optimization
(1)
importance sampling
(1)
mutual information
(1)
gradient-based method
(1)
integer linear programming
(1)
multi-objective optimization
(1)
black-box optimization
(1)
diffusion model
(1)
surrogate model
(1)
representation learning
(1)
unsupervised learning
(1)
Papers
Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower Expansion
AAAI 2025
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
AISTATS 2025
Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization
ICLR 2025
Contrastive Predict-and-Search for Mixed Integer Linear Programs
ICML 2024
GenCO: Generating Diverse Designs with Combinatorial Constraints
ICML 2024
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
ICML 2023
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
ICML 2023
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
AAAI 2021