Emily B. Fox
Title
Cited by
Cited by
Year
Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
5052014
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
479*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
3212008
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, EB Fox
arXiv preprint arXiv:1506.04696, 2015
3042015
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
2192011
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
2152008
Sparse graphs using exchangeable random measures
F Caron, EB Fox
Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2017
1652017
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
1632009
A bayesian approach for predicting the popularity of tweets
T Zaman, EB Fox, ET Bradlow
Annals of Applied Statistics 8 (3), 1583-1611, 2014
1572014
Bayesian nonparametric learning of complex dynamical phenomena
EB Fox
Massachusetts Institute of Technology, 2009
1442009
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
1092009
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
972014
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
962010
Learning the parameters of determinantal point process kernels
RH Affandi, E Fox, R Adams, B Taskar
International Conference on Machine Learning, 1224-1232, 2014
882014
Expectation-maximization for learning determinantal point processes
J Gillenwater, A Kulesza, E Fox, B Taskar
arXiv preprint arXiv:1411.1088, 2014
812014
Stochastic variational inference for hidden Markov models
NJ Foti, J Xu, D Laird, EB Fox
arXiv preprint arXiv:1411.1670, 2014
682014
Stochastic variational inference for hidden Markov models
NJ Foti, J Xu, D Laird, EB Fox
arXiv preprint arXiv:1411.1670, 2014
682014
Control variates for stochastic gradient MCMC
J Baker, P Fearnhead, EB Fox, C Nemeth
Statistics and Computing 29 (3), 599-615, 2019
642019
Curran Associates
H Wallach, H Larochelle, A Beygelzimer, F d’Alché-Buc, E Fox, R Garnett
Inc.: Red Hook, NY, USA 32, 8024-8035, 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
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Articles 1–20