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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
7702014
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
542*2011
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, E Fox
Advances in neural information processing systems 28, 2015
4382015
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
3442008
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
2712019
Nonparametric Bayesian learning of switching linear dynamical systems
E Fox, E Sudderth, M Jordan, A Willsky
Advances in neural information processing systems 21, 2008
2562008
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
2522011
Sparse graphs using exchangeable random measures
F Caron, EB Fox
Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2017
2202017
A bayesian approach for predicting the popularity of tweets
T Zaman, EB Fox, ET Bradlow
1872014
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
Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program)
J Pineau, P Vincent-Lamarre, K Sinha, V Larivière, A Beygelzimer, ...
The Journal of Machine Learning Research 22 (1), 7459-7478, 2021
1762021
Bayesian nonparametric learning of complex dynamical phenomena
EB Fox
Massachusetts Institute of Technology, 2009
1582009
Joint modeling of multiple time series via the beta process with application to motion capture segmentation
EB Fox, MC Hughes, EB Sudderth, MI Jordan
1102014
Learning the parameters of determinantal point process kernels
RH Affandi, E Fox, R Adams, B Taskar
International Conference on Machine Learning, 1224-1232, 2014
1082014
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
1072010
Expectation-maximization for learning determinantal point processes
JA Gillenwater, A Kulesza, E Fox, B Taskar
Advances in Neural Information Processing Systems 27, 2014
942014
Control variates for stochastic gradient MCMC
J Baker, P Fearnhead, EB Fox, C Nemeth
Statistics and Computing 29, 599-615, 2019
922019
Stochastic variational inference for hidden Markov models
N Foti, J Xu, D Laird, E Fox
Advances in neural information processing systems 27, 2014
902014
Stochastic variational inference for hidden Markov models
N Foti, J Xu, D Laird, E Fox
Advances in neural information processing systems 27, 2014
902014
Advances in Neural Information Processing Systems, volume 32. Curran Associates
E Fox, R Garnett
Inc, 0
74
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