David Barber

CoRR, 2023

Moment Matching Denoising Gibbs Sampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SPaDe: A Synonym-based Pain-level Detection Tool for Osteoarthritis.

[BibT_eX]

[DOI]

Yuhao Chen

Boqun Shu

Mojtaba Moattari

Farhana H. Zulkernine

John A. Queenan

Proceedings of the IEEE International Conference on Digital Health, 2023

2022

Towards Healing the Blindness of Score Matching.

[BibT_eX]

[DOI]

François-Xavier Briol

CoRR, 2022

Integrated Weak Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Improving VAE-based Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Parallel Neural Local Lossless Compression.

[BibT_eX]

[DOI]

CoRR, 2022

Generalization Gap in Amortized Inference.

[BibT_eX]

[DOI]

Mingtian Zhang

Peter Hayes

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Behavioral Segmentation for Enhanced Peer-to-Peer Patient Education.

[BibT_eX]

[DOI]

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis.

[BibT_eX]

[DOI]

Coline H. M. Van Moorsel

Joseph Jacob

Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Adaptive Optimization with Examplewise Gradients.

[BibT_eX]

[DOI]

Julius Kunze

James Townsend

CoRR, 2021

Sample Efficient Model Evaluation.

[BibT_eX]

[DOI]

CoRR, 2021

Locally-Contextual Nonlinear CRFs for Sequence Labeling.

[BibT_eX]

[DOI]

Tim Z. Xiao

CoRR, 2021

Learning Disentangled Representations with the Wasserstein Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Addressing Catastrophic Forgetting in Few-Shot Problems.

[BibT_eX]

[DOI]

Pau Ching Yap

Proceedings of the 38th International Conference on Machine Learning, 2021

Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks.

[BibT_eX]

[DOI]

Thomas Bird

Friso H. Kingma

Proceedings of the 9th International Conference on Learning Representations, 2021

Improving Gaussian mixture latent variable model convergence with Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Validation of an EMR algorithm to measure the prevalence of ADHD in the Canadian Primary Care Sentinel Surveillance Network (CPCSSN).

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., December, 2020

Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2020

Bayesian Online Meta-Learning with Laplace Approximation.

[BibT_eX]

[DOI]

Pau Ching Yap

CoRR, 2020

Private Machine Learning via Randomised Response.

[BibT_eX]

[DOI]

CoRR, 2020

Spread Divergence.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

HiLLoC: lossless image compression with hierarchical latent variable models.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Improving latent variable descriptiveness by modelling rather than ad-hoc factors.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Gaussian Mean Field Regularizes by Limiting Learned Information.

[BibT_eX]

[DOI]

Entropy, 2019

Variational f-divergence Minimization.

[BibT_eX]

[DOI]

CoRR, 2019

Practical Lossless Compression with Latent Variables using Bits Back Coding.

[BibT_eX]

[DOI]

James Townsend

Tom Bird

CoRR, 2019

Practical lossless compression with latent variables using bits back coding.

[BibT_eX]

[DOI]

James Townsend

Thomas Bird

Proceedings of the 7th International Conference on Learning Representations, 2019

Auxiliary Variational MCMC.

[BibT_eX]

[DOI]

Raza Habib

Proceedings of the 7th International Conference on Learning Representations, 2019

Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Spread Divergences.

[BibT_eX]

[DOI]

CoRR, 2018

Stochastic Variational Optimization.

[BibT_eX]

[DOI]

Thomas Bird

Julius Kunze

CoRR, 2018

Improving latent variable descriptiveness with AutoGen.

[BibT_eX]

[DOI]

CoRR, 2018

Gaussian mixture models with Wasserstein distance.

[BibT_eX]

[DOI]

CoRR, 2018

Generative Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Modular Networks: Learning to Decompose Neural Computation.

[BibT_eX]

[DOI]

Louis Kirsch

Julius Kunze

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Scalable Laplace Approximation for Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Detecting Low Back Pain from Clinical Narratives Using Machine Learning Approaches.

[BibT_eX]

[DOI]

Michael Judd

Farhana H. Zulkernine

Brent Wolfrom

Akshay Rajaram

Proceedings of the Database and Expert Systems Applications, 2018

Generating Sentences Using a Dynamic Canvas.

[BibT_eX]

[DOI]

Bowen Zheng

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Thinking Fast and Slow with Deep Learning and Tree Search.

[BibT_eX]

[DOI]

Thomas Anthony

Zheng Tian

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Overdispersed variational autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Nesterov's accelerated gradient and momentum as approximations to regularised update descent.

[BibT_eX]

[DOI]

Guy Lever

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Practical Gauss-Newton Optimisation for Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification.

[BibT_eX]

[DOI]

Bowen Zheng

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Utility of linking primary care electronic medical records with Canadian census data to study the determinants of chronic disease: an example based on socioeconomic status and obesity.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2016

Approximate Newton Methods for Policy Search in Markov Decision Processes.

[BibT_eX]

[DOI]

Guy Lever

J. Mach. Learn. Res., 2016

Using machine learning to predict hypertension from a clinical dataset.

[BibT_eX]

[DOI]

Daniel Lafrenière

Farhana H. Zulkernine

Ken Martin

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Topic factor models: Uncovering thematic structure in equity market data.

[BibT_eX]

[DOI]

Joe Staines

Intell. Data Anal., 2015

2014

An Image Reconstruction Algorithm for 3-D Electrical Impedance Mammography.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2014

On solving Ordinary Differential Equations using Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2014

Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations.

[BibT_eX]

[DOI]

Yali Wang

Proceedings of the 31th International Conference on Machine Learning, 2014

Keep Taking the Tablets: Integrating the Mobile in Work-Based Learning.

[BibT_eX]

[DOI]

Proceedings of BIIML 2014 Symposium, Bristol, United Kingdom, March 6-7, 2014., 2014

2013

Gaussian Kullback-Leibler approximate inference.

[BibT_eX]

[DOI]

Edward Challis

J. Mach. Learn. Res., 2013

Optimization by Variational Bounding.

[BibT_eX]

[DOI]

Joe Staines

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

On the Computational Complexity of Stochastic Controller Optimization in POMDPs.

[BibT_eX]

[DOI]

Nikos Vlassis

Michael L. Littman

ACM Trans. Comput. Theory, 2012

Variational Optimization

[BibT_eX]

[DOI]

Joe Staines

CoRR, 2012

A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Affine Independent Variational Inference.

[BibT_eX]

[DOI]

Edward Challis

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Bayesian Conditional Cointegration.

[BibT_eX]

[DOI]

Chris Bracegirdle

Proceedings of the 29th International Conference on Machine Learning, 2012

Bayesian reasoning and machine learning.

[BibT_eX]

Cambridge University Press, ISBN: 0521518148, 2012

2011

Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models.

[BibT_eX]

[DOI]

Edward Challis

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Switch-Reset Models : Exact and Approximate Inference.

[BibT_eX]

[DOI]

Chris Bracegirdle

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Efficient Inference in Markov Control Problems.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Lagrange Dual Decomposition for Finite Horizon Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Graphical Models for Time-Series.

[BibT_eX]

[DOI]

A. Taylan Cemgil

IEEE Signal Process. Mag., 2010

Variational methods for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009

A Simple Alternative Derivation of the Expectation Correction Algorithm.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2009

2008

Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

2007

Switching Linear Dynamical Systems for Noise Robust Speech Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2007

Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2007

A Bayesian Alternative to Gain Adaptation in Autoregressive Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Stable Belief Propagation in Gaussian Dags.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

A generative model for music transcription.

[BibT_eX]

[DOI]

Ali Taylan Cemgil

Hilbert J. Kappen

IEEE Trans. Speech Audio Process., 2006

Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning.

[BibT_eX]

[DOI]

Neural Comput., 2006

Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

EEG classification using generative independent component analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2006

A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Tagging of name records for genealogical data browsing.

[BibT_eX]

[DOI]

Mike Perrow

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2006

Efficient Kalman Smoothing for Harmonic State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Islands of the Arctic.

[BibT_eX]

[DOI]

Cartogr. Int. J. Geogr. Inf. Geovisualization, 2005

Auxiliary Variational Information Maximization for Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Subspace, 2005

Kernelized Infomax Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A graphical model for chord progressions embedded in a psychoacoustic space.

[BibT_eX]

[DOI]

Jean-François Paiement

Douglas Eck

Samy Bengio

Proceedings of the Machine Learning, 2005

generative independent component analysis for EEG classification.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

An Auxiliary Variational Method.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Variational Information Maximization for Neural Coding.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003

Information Maximization in Noisy Channels : A Variational Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Optimal Hebbian Learning: A Probabilistic Point of View.

[BibT_eX]

[DOI]

Jean-Pascal Pfister

Wulfram Gerstner

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Approximate Learning in Temporal Hidden Hopfield Models.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Dynamic Bayesian Networks with Deterministic Latent Tables.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning in Spiking Neural Assemblies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Deterministic Generative Models for Fast Feature Discovery.

[BibT_eX]

[DOI]

Machiel Westerdijk

Wim Wiegerinck

Data Min. Knowl. Discov., 2001

1999

Variational Cumulant Expansions for Intractable Distributions.

[BibT_eX]

[DOI]

Piërre van de Laar

J. Artif. Intell. Res., 1999

Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks.

[BibT_eX]

[DOI]

Christopher K. I. Williams

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Bayesian Classification With Gaussian Processes.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1998

Online Learning from Finite Training Sets and Robustness to Input Bias.

[BibT_eX]

[DOI]

Neural Comput., 1998

Tractable Variational Structures for Approximating Graphical Models.

[BibT_eX]

[DOI]

Wim Wiegerinck

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

OhioLINK: A Consortial Approach to Digital Library Management.

[BibT_eX]

[DOI]

D Lib Mag., 1997

On-line Learning from Finite Training Sets in Nonlinear Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Radial Basis Functions: A Bayesian Treatment.

[BibT_eX]

[DOI]

Bernhard Schottky

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Ensemble Learning for Multi-Layer Networks.

[BibT_eX]

[DOI]

Christopher M. Bishop

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Finite size effects in neural network algorithms.

[BibT_eX]

[DOI]

PhD thesis, 1996

Does Extra Knowledge Necessarily Improve Generalization?

[BibT_eX]

[DOI]

David Saad

Neural Comput., 1996

Online Learning from Finite Training Sets: An Analytical Case Study.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo.

[BibT_eX]

[DOI]

Christopher K. I. Williams

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Bayesian Model Comparison by Monte Carlo Chaining.

[BibT_eX]

[DOI]

Christopher M. Bishop

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Test Error Fluctuations in Finite Linear Perceptrons.

[BibT_eX]

[DOI]

David Saad

Neural Comput., 1995

Knowledge and generalisation in simple learning systems.

[BibT_eX]

[DOI]