Rafael Oliveira
13 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
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Keyword Collector
(54)
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(10)
Artificial Intelligence
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Core Methods
(3)
Core AI
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Learning Paradigms
(1)
Learning Types
(1)
Methods
(1)
Models
(1)
Keywords
gaussian process
(7)
bayesian inference
(4)
bayesian optimisation
(4)
bayesian optimization
(3)
regret bound
(3)
upper confidence bound
(3)
variational inference
(3)
reproducing kernel hilbert space
(2)
model predictive control
(2)
markov chain monte carlo
(2)
stein variational gradient descent
(2)
density ratio estimation
(2)
exploration-exploitation tradeoff
(1)
regret minimization
(1)
uncertainty quantification
(1)
black-box optimization
(1)
sequential optimization
(1)
markov decision process
(1)
optimal experimental design
(1)
experimental design
(1)
Papers
Variational Search Distributions
ICLR 2025
Bayesian Adaptive Calibration and Optimal Design
NeurIPS 2024
Stein Random Feature Regression
UAI 2024
Adaptive Model Predictive Control by Learning Classifiers
L4DC 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees
NeurIPS 2022
Generalized Bayesian quadrature with spectral kernels
UAI 2022
Value Function Approximations via Kernel Embeddings
for No-Regret Reinforcement Learning
ACML 2022
Dual Online Stein Variational Inference for Control and Dynamics
RSS 2021
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers
AISTATS 2021
No-regret approximate inference via Bayesian optimisation
UAI 2021
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation
UAI 2020
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
NeurIPS 2020
Bayesian optimisation under uncertain inputs
AISTATS 2019