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Emily B. Fox
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Cited by
Year
Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
10422014
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
598*2011
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, E Fox
Advances in neural information processing systems 28, 2015
5662015
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
4052019
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
3722008
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, ...
Journal of machine learning research 22 (164), 1-20, 2021
3662021
Neural granger causality
A Tank, I Covert, N Foti, A Shojaie, EB Fox
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4267-4279, 2021
3042021
Nonparametric Bayesian learning of switching linear dynamical systems
E Fox, E Sudderth, M Jordan, A Willsky
Advances in neural information processing systems 21, 2008
2942008
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
2842011
Sparse graphs using exchangeable random measures
F Caron, EB Fox
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
2552017
A bayesian approach for predicting the popularity of tweets
T Zaman, EB Fox, ET Bradlow
2072014
Granger causality: A review and recent advances
A Shojaie, EB Fox
Annual Review of Statistics and Its Application 9 (1), 289-319, 2022
2042022
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
1852009
Bayesian nonparametric learning of complex dynamical phenomena
EB Fox
Massachusetts Institute of Technology, 2009
1672009
Advances in Neural Information Processing Systems, volume 32. Curran Associates
E Fox, R Garnett
Inc, 0
152
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, 1281-1313, 2014
1312014
Learning the parameters of determinantal point process kernels
RH Affandi, E Fox, R Adams, B Taskar
International Conference on Machine Learning, 1224-1232, 2014
1222014
Control variates for stochastic gradient MCMC
J Baker, P Fearnhead, EB Fox, C Nemeth
Statistics and Computing 29, 599-615, 2019
1192019
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
1172010
Stochastic variational inference for hidden Markov models
N Foti, J Xu, D Laird, E Fox
Advances in neural information processing systems 27, 2014
1062014
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Articles 1–20