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Stephen Roberts

20 papers · 2012–2024 · 4 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (17) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (93) πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (20)

Conferences

ICML (8) AISTATS (7) JMLR (4) UAI (1)

Top co-authors

Michael A. Osborne (4) Michael Osborne (4) Jack Parker-Holder (3) Andrea Patane (2) Matthew Willetts (2) Krzysztof Choromanski (2) Ahsan Alvi (2) Diego Granziol (2) Aldo Pacchiano (2) Tom Gunter (2)

Keywords

gaussian process (8) variational inference (3) model-based reinforcement learning (3) adversarial robustness (3) bayesian optimisation (2) uncertainty quantification (2) branch and bound (2) point process (2) learning rate (2) probabilistic model (2) bayesian inference (2) world model (2) poisson process (2) continuous control (2) markov chain monte carlo (2) bayesian quadrature (2) variational autoencoder (2) kernel learning (1) hyperparameter optimization (1) sample efficiency (1)

Papers

Iterate Averaging in the Quest for Best Test Error JMLR 2024
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels ICML 2022
Marginalising over Stationary Kernels with Bayesian Quadrature AISTATS 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training JMLR 2022
Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022
Learning Bijective Feature Maps for Linear ICA AISTATS 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment ICML 2021
Towards tractable optimism in model-based reinforcement learning UAI 2021
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders AISTATS 2021
Ready Policy One: World Building Through Active Learning ICML 2020
Adversarial Robustness Guarantees for Classification with Gaussian Processes AISTATS 2020
Bayesian Optimisation over Multiple Continuous and Categorical Inputs ICML 2020
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation ICML 2019
Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018
Distribution of Gaussian Process Arc Lengths AISTATS 2017
Latent Point Process Allocation AISTATS 2016
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015
Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015
Efficient State-Space Inference of Periodic Latent Force Models JMLR 2014
Bayesian Quadrature for Ratios AISTATS 2012