Emily B. Fox
Title
Cited by
Cited by
Year
A sticky HDP-HMM with application to speaker diarization
EB Fox, EB Sudderth, MI Jordan, AS Willsky
The Annals of Applied Statistics, 1020-1056, 2011
446*2011
Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
4182014
An HDP-HMM for systems with state persistence
EB Fox, EB Sudderth, MI Jordan, AS Willsky
Proceedings of the 25th international conference on Machine learning, 312-319, 2008
3082008
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, E Fox
Advances in Neural Information Processing Systems, 2917-2925, 2015
2462015
Bayesian nonparametric inference of switching dynamic linear models
E Fox, EB Sudderth, MI Jordan, AS Willsky
IEEE Transactions on Signal Processing 59 (4), 1569-1585, 2011
2032011
Nonparametric Bayesian learning of switching linear dynamical systems
E Fox, EB Sudderth, MI Jordan, AS Willsky
Advances in neural information processing systems, 457-464, 2009
2022009
Nonparametric Bayesian learning of switching linear dynamical systems
EB Fox, EB Sudderth, MI Jordan, AS Willsky
Advances in Neural Information Processing Systems, 457-464, 2009
2022009
Sharing features among dynamical systems with beta processes
EB Fox, EB Sudderth, MI Jordan, AS Willsky
Advances in Neural Information Processing Systems, 549-557, 2009
1542009
Sparse graphs using exchangeable random measures
F Caron, EB Fox
Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2017
1482017
A bayesian approach for predicting the popularity of tweets
T Zaman, EB Fox, ET Bradlow
The Annals of Applied Statistics 8 (3), 1583-1611, 2014
1422014
Bayesian nonparametric learning of complex dynamical phenomena
EB Fox
Massachusetts Institute of Technology, 2009
1392009
Bayesian nonparametric methods for learning Markov switching processes
EB Fox, EB Sudderth, MI Jordan, AS Willsky
IEEE Signal Processing Magazine 27 (6), 43-54, 2010
922010
Joint modeling of multiple time series via the beta process with application to motion capture segmentation
EB Fox, MC Hughes, EB Sudderth, MI Jordan
The Annals of Applied Statistics 8 (3), 1281-1313, 2014
812014
Learning the parameters of determinantal point process kernels
RH Affandi, E Fox, R Adams, B Taskar
International Conference on Machine Learning, 1224-1232, 2014
742014
Expectation-maximization for learning determinantal point processes
JA Gillenwater, A Kulesza, E Fox, B Taskar
Advances in Neural Information Processing Systems, 3149-3157, 2014
662014
Stochastic variational inference for hidden Markov models
N Foti, J Xu, D Laird, E Fox
Advances in neural information processing systems, 3599-3607, 2014
622014
Hierarchical Dirichlet processes for tracking maneuvering targets
EB Fox, EB Sudderth, AS Willsky
2007 10th international conference on information fusion, 1-8, 2007
612007
Control variates for stochastic gradient MCMC
J Baker, P Fearnhead, EB Fox, C Nemeth
Statistics and Computing 29 (3), 599-615, 2019
542019
Approximate inference in continuous determinantal processes
RH Affandi, E Fox, B Taskar
Advances in Neural Information Processing Systems, 1430-1438, 2013
482013
Estimating network degree distributions under sampling: An inverse problem, with applications to monitoring social media networks
Y Zhang, ED Kolaczyk, BD Spencer
The Annals of Applied Statistics 9 (1), 166-199, 2015
452015
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Articles 1–20