Publications (38)
BDLOB: Bayesian Deep Convolutional Neural Networks for Limit Order Books
Zihao Zhang, Stefan Zohren, Stephen Roberts
Entropic Spectral Learning for Large-Scale Graphs
Diego Granziol, Binxin Ru, Stefan Zohren +3
Mosquito detection with low-cost smartphones: data acquisition for malaria research
Yunpeng Li, Davide Zilli, Henry Chan +4
Detecting bird sound in unknown acoustic background using crowdsourced training data
Timos Papadopoulos, Stephen Roberts, Kathy Willis
Blitzkriging: Kronecker-structured Stochastic Gaussian Processes
Thomas Nickson, Tom Gunter, Chris Lloyd +2
Entropic Determinants
Diego Granziol, Stephen Roberts
Mosquito Detection with Neural Networks: The Buzz of Deep Learning
Ivan Kiskin, Bernardo Pérez Orozco, Theo Windebank +4
A Probabilistic Approach to Nonparametric Local Volatility
Martin Tegnér, Stephen Roberts
Intersectionality: Multiple Group Fairness in Expectation Constraints
Jack Fitzsimons, Michael Osborne, Stephen Roberts
Semi-unsupervised Learning of Human Activity using Deep Generative Models
Matthew Willetts, Aiden Doherty, Stephen Roberts +1
Dynamic Bayesian Combination of Multiple Imperfect Classifiers
Edwin Simpson, Stephen Roberts, Ioannis Psorakis +1
WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding
Shuyu Lin, Ronald Clark, Robert Birke +2
VBALD - Variational Bayesian Approximation of Log Determinants
Diego Granziol, Edward Wagstaff, Bin Xin Ru +2
String Gaussian Process Kernels
Yves-Laurent Kom Samo, Stephen Roberts
Efficient State-Space Inference of Periodic Latent Force Models
Steven Reece, Stephen Roberts, Siddhartha Ghosh +2
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting
Bernardo Pérez Orozco, Gabriele Abbati, Stephen Roberts
String and Membrane Gaussian Processes
Yves-Laurent Kom Samo, Stephen Roberts
Statistics of Stellar Variability from Kepler - I: Revisiting Quarter 1 with an Astrophysically Robust Systematics Correction
Amy McQuillan, Suzanne Aigrain, Stephen Roberts
A Direct Mapping of Max k-SAT and High Order Parity Checks to a Chimera Graph
Nicholas Chancellor, Stefan Zohren, Paul A. Warburton +2
Spectral Decompositions for Evolution Opertors of Mixing Dynamical Systems
Stephen Roberts, Boris Muzykantskii
Generalized Spectral Kernels
Yves-Laurent Kom Samo, Stephen Roberts
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning
Diego Granziol, Binxin Ru, Stefan Zohren +3
Cost-sensitive detection with variational autoencoders for environmental acoustic sensing
Yunpeng Li, Ivan Kiskin, Davide Zilli +4
Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space
Jan-Peter Calliess, Michael Osborne, Stephen Roberts
Extracting Predictive Information from Heterogeneous Data Streams using Gaussian Processes
Sid Ghoshal, Stephen Roberts
Riemannian tangent space mapping and elastic net regularization for cost-effective EEG markers of brain atrophy in Alzheimer's disease
Wolfgang Fruehwirt, Matthias Gerstgrasser, Pengfei Zhang +11
Anomaly Detection and Removal Using Non-Stationary Gaussian Processes
Steven Reece, Roman Garnett, Michael Osborne +1
An information and field theoretic approach to the grand canonical ensemble
Diego Granziol, Stephen Roberts
Gradient descent in Gaussian random fields as a toy model for high-dimensional optimisation in deep learning
Mariano Chouza, Stephen Roberts, Stefan Zohren
Extending Deep Learning Models for Limit Order Books to Quantile Regression
Zihao Zhang, Stefan Zohren, Stephen Roberts
Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs
Bryan Lim, Stefan Zohren, Stephen Roberts
A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes
Daniel Poh, Stephen Roberts, Martin Tegnér
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes
Yves-Laurent Kom Samo, Stephen Roberts
Efficient Bayesian Community Detection using Non-negative Matrix Factorisation
Ioannis Psorakis, Stephen Roberts, Ben Sheldon
Novel Exploration Techniques (NETs) for Malaria Policy Interventions
Oliver Bent, Sekou L. Remy, Stephen Roberts +1
Communication Communities in MOOCs
Nabeel Gillani, Rebecca Eynon, Michael Osborne +2
Sequential sampling of Gaussian process latent variable models
Martin Tegner, Benjamin Bloem-Reddy, Stephen Roberts
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity
Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer +11