Stephen J. Roberts
12 papers · 2006–2022 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (16)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
🌍
Conference Polyglot
(5)
🌟
Keyword Trendsetter Combo
(6)
🌱
Topic Pioneer
🏆
Keyword Champion
💎
Century Club
(12)
📈
Trend Setter
🗃️
Keyword Collector
(51)
🚀
Conference Pioneer
Conferences
NIPS (7)
ICLR (2)
AAAI (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
reinforcement learning
(4)
numerical integration
(2)
bayesian quadrature
(2)
bayesian inference
(2)
continual learning
(2)
hyperparameter optimization
(2)
multi-armed bandit
(2)
active learning
(2)
markov chain monte carlo
(2)
super-resolution
(1)
uncertainty quantification
(1)
variational inference
(1)
data augmentation
(1)
probabilistic inference
(1)
multi-frame imaging
(1)
gaussian processes
(1)
marginalization
(1)
marginal likelihood
(1)
multi-frame processing
(1)
image super-resolution
(1)
Papers
Same State, Different Task: Continual Reinforcement Learning without Interference
AAAI 2022
Revisiting Design Choices in Offline Model Based Reinforcement Learning
ICLR 2022
Robust and Scalable SDE Learning: A Functional Perspective
ICLR 2022
Hierarchical Indian buffet neural networks for Bayesian continual learning
UAI 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
NIPS 2021
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
NIPS 2020
Explicit Regularisation in Gaussian Noise Injections
NIPS 2020
Effective Diversity in Population Based Reinforcement Learning
NIPS 2020
String and Membrane Gaussian Processes
JMLR 2016
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
NIPS 2014
Active Learning of Model Evidence Using Bayesian Quadrature
NIPS 2012
Bayesian Image Super-resolution, Continued
NIPS 2006