David B. Dunson
Affiliations:- Duke University, Department of Statistical Science
According to our database1,
David B. Dunson
authored at least 144 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on viaf.org
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on id.loc.gov
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on d-nb.info
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Bibliography
2024
Hierarchical Shrinkage Gaussian Processes: Applications to Computer Code Emulation and Dynamical System Recovery.
SIAM/ASA J. Uncertain. Quantification, 2024
Fast nonparametric feature selection with error control using integrated path stability selection.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
NeuroImage, August, 2023
J. Mach. Learn. Res., 2023
J. Mach. Learn. Res., 2023
J. Mach. Learn. Res., 2023
2022
SIAM J. Math. Data Sci., December, 2022
J. Mach. Learn. Res., 2022
2021
Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets.
NeuroImage, 2021
J. Mach. Learn. Res., 2021
J. Comput. Graph. Stat., 2021
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
IEEE Trans. Signal Process., 2019
Tensor network factorizations: Relationships between brain structural connectomes and traits.
NeuroImage, 2019
Identifying Vulnerable Brain Networks in Mouse Models of Genetic Risk Factors for Late Onset Alzheimer's Disease.
Frontiers Neuroinformatics, 2019
CoRR, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models with Rare States.
CoRR, 2018
CoRR, 2018
2017
J. Mach. Learn. Res., 2017
Oper. Res., 2017
2016
Neural Networks, 2016
J. Mach. Learn. Res., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
A hybrid bayesian approach for genome-wide association studies on related individuals.
Bioinform., 2015
Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling.
IEEE Trans. Biomed. Eng., 2014
J. Mach. Learn. Res., 2014
J. Mach. Learn. Res., 2014
Comput. Stat. Data Anal., 2014
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014
Bioinform., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
J. Multivar. Anal., 2013
J. Mach. Learn. Res., 2013
Comput. Stat. Data Anal., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 18th International Conference on Digital Signal Processing, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images.
IEEE Trans. Image Process., 2012
High Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections.
IEEE Signal Process. Mag., 2012
Semiparametric Bayesian local functional models for diffusion tensor tract statistics.
NeuroImage, 2012
J. Multivar. Anal., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
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
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
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design.
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Corrections to "Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds".
IEEE Trans. Signal Process., 2011
Bayesian Inference for Genomic Data Integration Reduces Misclassification Rate in Predicting Protein-Protein Interactions.
PLoS Comput. Biol., 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds.
IEEE Trans. Signal Process., 2010
J. Mach. Learn. Res., 2010
Comput. Stat. Data Anal., 2010
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies.
BMC Bioinform., 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
IEEE Trans. Signal Process., 2008
Proceedings of the Machine Learning, 2008
Proceedings of the Machine Learning, 2008
Proceedings of the Machine Learning, 2008
2007
Proceedings of the Machine Learning, 2007
Proceedings of the Machine Learning, 2007