Carla P Gomes
10 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Venues
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Research topics
Machine Learning
(7)
Deep Learning
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Optimization & Theory
(4)
Reinforcement Learning
(3)
Methods
(3)
Application Areas
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
reinforcement learning
(3)
continuous control
(2)
unsupervised learning
(1)
langevin dynamics
(1)
contrastive learning
(1)
constrained optimization
(1)
matrix factorization
(1)
gradient estimation
(1)
hyperparameter optimization
(1)
multi-label classification
(1)
language model evaluation
(1)
adaptive sampling
(1)
black-box optimization
(1)
automatic differentiation
(1)
structured matrix
(1)
gaussian process
(1)
importance sampling
(1)
model compression
(1)
variance reduction
(1)
combinatorial optimization
(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
On Speeding Up Language Model Evaluation
ICLR 2025
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
ICML 2025
Weighted Sampling without Replacement for Deep Top-k Classification
ICML 2023
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
ICML 2022
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
ICLR 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
ICML 2022
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
ICML 2021