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
6072014
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
502*2011
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, EB Fox
arXiv preprint arXiv:1506.04696, 2015
3672015
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
3322008
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
2372008
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
2282011
Sparse graphs using exchangeable random measures
F Caron, EB Fox
Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2017
1932017
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
1772009
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
1712014
Bayesian nonparametric learning of complex dynamical phenomena
EB Fox
Massachusetts Institute of Technology, 2009
1522009
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
1212009
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
1182019
Advances in neural information processing systems
Z Yang, Z Dai, Y Yang, J Carbonell, RR Salakhutdinov, QV Le, H Wallach, ...
NIPS 32, 5753-5763, 2019
1082019
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
1052014
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
1022010
Learning the parameters of determinantal point process kernels
RH Affandi, E Fox, R Adams, B Taskar
International Conference on Machine Learning, 1224-1232, 2014
1002014
Expectation-maximization for learning determinantal point processes
JA Gillenwater, A Kulesza, E Fox, B Taskar
Advances in Neural Information Processing Systems 27, 3149-3157, 2014
862014
Control variates for stochastic gradient MCMC
J Baker, P Fearnhead, EB Fox, C Nemeth
Statistics and Computing 29 (3), 599-615, 2019
772019
Stochastic variational inference for hidden Markov models
N Foti, J Xu, D Laird, E Fox
Advances in neural information processing systems, 3599-3607, 2014
752014
Stochastic variational inference for hidden Markov models
N Foti, J Xu, D Laird, E Fox
Advances in neural information processing systems, 3599-3607, 2014
752014
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Articles 1–20