Stephen J. Roberts
12 papers · 2006–2022 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Pioneer
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Keyword Trendsetter Combo
(7)
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(64)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(9)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(4)
Reinforcement Learning
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Deep Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Methods
(3)
Mathematics & Optimization
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Mathematics
(2)
Computer Vision
(1)
Application Areas
(1)
Keywords
reinforcement learning
(4)
continual learning
(2)
bayesian inference
(2)
bayesian quadrature
(2)
markov chain monte carlo
(2)
hyperparameter optimization
(2)
numerical integration
(2)
population-based training
(2)
multi-armed bandit
(2)
active learning
(2)
offline reinforcement learning
(1)
probabilistic inference
(1)
uncertainty quantification
(1)
data augmentation
(1)
sample efficiency
(1)
marginal likelihood
(1)
gaussian processes
(1)
multi-frame processing
(1)
image super-resolution
(1)
image restoration
(1)
Papers
Revisiting Design Choices in Offline Model Based Reinforcement Learning
ICLR 2022
Robust and Scalable SDE Learning: A Functional Perspective
ICLR 2022
Same State, Different Task: Continual Reinforcement Learning without Interference
AAAI 2022
Hierarchical Indian buffet neural networks for Bayesian continual learning
UAI 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
NeurIPS 2021
Effective Diversity in Population Based Reinforcement Learning
NeurIPS 2020
Explicit Regularisation in Gaussian Noise Injections
NeurIPS 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
NeurIPS 2020
String and Membrane Gaussian Processes
JMLR 2016
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
NeurIPS 2014
Active Learning of Model Evidence Using Bayesian Quadrature
NeurIPS 2012
Bayesian Image Super-resolution, Continued
NeurIPS 2006