Roberts, Stephen J.
- HumBugDB: A Large-scale Acoustic Mosquito Dataset
2021/10/14 by Ivan Kiskin, Marianne Sinka, Kiskin, Ivan +28 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Animal Vocal Communication and Behavior #Audio and Speech Processing (eess.AS) #Computer Vision and Pattern Recognition (cs.CV) #E.0 #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.1 #J.3 #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
- Variational Inference for Gaussian Process Modulated Poisson Processes
2014/11/02 by Chris Lloyd, Tom Gunter, Lloyd, Chris +5 · 3 citations
Mathematics · #FOS: Computer and information sciences #Machine Learning (stat.ML) #stat.ML
- Same State, Different Task: Continual Reinforcement Learning without Interference
2021/06/05 by Samuel Kessler, Jack Parker-Holder, Kessler, Samuel +7 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- The Effectiveness of World Models for Continual Reinforcement Learning
2022/11/29 by Samuel Kessler, Kessler, Samuel, Ostaszewski, Mateusz +6 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- Optimization, fast and slow: optimally switching between local and Bayesian optimization
2018/05/22 by Mark McLeod, Michael A. Osborne, McLeod, Mark +3 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- A Sparse Gaussian Process Framework for Photometric Redshift Estimation
2015/05/20 by Almosallam, Ibrahim A., Lindsay, Sam N., Jarvis, Matt J. +1 · 2 citations
#Astrophysics of Galaxies (astro-ph.GA) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM)
- Revisiting Design Choices in Offline Model-Based Reinforcement Learning
2021/10/08 by Cong Lu, Lu, Cong, Philip Ball +7 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
- GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts
2016/04/12 by Almosallam, Ibrahim A., Jarvis, Matt J., Roberts, Stephen J. · 2 citations
#FOS: Physical sciences #I.2.6 #Instrumentation and Methods for Astrophysics (astro-ph.IM)
- Asynchronous Batch Bayesian Optimisation with Improved Local\n Penalisation
2019/01/29 by Ahsan Alvi, Bin Xin Ru, Alvi, Ahsan S. +9 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Bayesian Optimization for Dynamic Problems
2018/03/09 by Favour Nyikosa, Nyikosa, Favour M., Michael A. Osborne +3 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
- Loss-Calibrated Approximate Inference in Bayesian Neural Networks
2018/05/10 by Adam D. Cobb, Cobb, Adam D., Stephen Roberts +3 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Learning General World Models in a Handful of Reward-Free Deployments
2022/10/23 by Yingchen Xu, Xu, Yingchen, Jack Parker-Holder +13 · 2 citations
Computer Science · #Age of Information Optimization #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Optimal client recommendation for market makers in illiquid financial\n products
2017/04/27 by Dieter Hendricks, Stephen Roberts, Hendricks, Dieter +1 · 1 citation
Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Computational Finance (q-fin.CP) #FOS: Computer and information sciences #FOS: Economics and business #Financial Markets and Investment Strategies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods #Topic Modeling
- Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo
2019/10/14 by Cobb, Adam D., Baydin, Atılım Güneş, Markham, Andrew +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On-the-fly Strategy Adaptation for ad-hoc Agent Coordination
2022/03/08 by Jaleh Zand, Jack Parker-Holder, Zand, Jaleh +3 · 1 citation
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Sports Analytics and Performance
- A Gaussian process model for stellar activity in 2-D line profile time-series
2024/10/16 by Haochuan Yu, Suzanne Aigrain, Yu, Haochuan +12 · 1 voice · 1 citation
Engineering · Physics and Astronomy · #Astronomical Observations and Instrumentation #Astronomy and Astrophysical Research #Stellar, planetary, and galactic studies #astro-ph.EP #astro-ph.IM #astro-ph.SR
- Practical Bayesian Optimization for Variable Cost Objectives
2017/03/13 by Mark McLeod, Michael A. Osborne, McLeod, Mark +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
- Distribution of Gaussian Process Arc Lengths
2017/03/23 by Justin Dragon Bewsher, Alessandra Tosi, Bewsher, Justin D. +5 · 1 citation
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Laser-induced spectroscopy and plasma #Machine Learning (stat.ML)