Emily B. Fox
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Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
4802014
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
465*2011
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
3182008
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, EB Fox
arXiv preprint arXiv:1506.04696, 2015
2882015
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
2122011
Nonparametric Bayesian learning of switching linear dynamical systems
E Fox, E Sudderth, M Jordan, A Willsky
Advances in Neural Information Processing Systems 21, 457-464, 2008
2102008
Sparse graphs using exchangeable random measures
F Caron, EB Fox
Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2017
1622017
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
1622009
A bayesian approach for predicting the popularity of tweets
T Zaman, EB Fox, ET Bradlow
Annals of Applied Statistics 8 (3), 1583-1611, 2014
1532014
Bayesian nonparametric learning of complex dynamical phenomena
EB Fox
Massachusetts Institute of Technology, 2009
1422009
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
1042009
Joint modeling of multiple time series via the beta process with application to motion capture segmentation
EB Fox, MC Hughes, EB Sudderth, MI Jordan
Annals of Applied Statistics 8 (3), 1281-1313, 2014
932014
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
932010
Learning the parameters of determinantal point process kernels
RH Affandi, E Fox, R Adams, B Taskar
International Conference on Machine Learning, 1224-1232, 2014
782014
Expectation-maximization for learning determinantal point processes
J Gillenwater, A Kulesza, E Fox, B Taskar
arXiv preprint arXiv:1411.1088, 2014
762014
Stochastic variational inference for hidden Markov models
NJ Foti, J Xu, D Laird, EB Fox
arXiv preprint arXiv:1411.1670, 2014
662014
Stochastic variational inference for hidden Markov models
NJ Foti, J Xu, D Laird, EB Fox
arXiv preprint arXiv:1411.1670, 2014
662014
Control variates for stochastic gradient MCMC
J Baker, P Fearnhead, EB Fox, C Nemeth
Statistics and Computing 29 (3), 599-615, 2019
612019
Hierarchical Dirichlet processes for tracking maneuvering targets
EB Fox, EB Sudderth, AS Willsky
2007 10th international conference on information fusion, 1-8, 2007
602007
Approximate inference in continuous determinantal point processes
RH Affandi, EB Fox, B Taskar
arXiv preprint arXiv:1311.2971, 2013
512013
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20