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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
7082014
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
522*2011
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, E Fox
Advances in neural information processing systems 28, 2015
4072015
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
3352008
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
2472011
Nonparametric Bayesian learning of switching linear dynamical systems
E Fox, E Sudderth, M Jordan, A Willsky
Advances in neural information processing systems 21, 2008
2462008
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
2112019
Sparse graphs using exchangeable random measures
F Caron, EB Fox
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
2092017
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
1832014
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
1732009
Bayesian nonparametric learning of complex dynamical phenomena
EB Fox
Massachusetts Institute of Technology, 2009
1542009
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, 2021
1442021
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
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
1042010
Learning the parameters of determinantal point process kernels
RH Affandi, E Fox, R Adams, B Taskar
International Conference on Machine Learning, 1224-1232, 2014
1032014
Expectation-maximization for learning determinantal point processes
JA Gillenwater, A Kulesza, E Fox, B Taskar
Advances in Neural Information Processing Systems 27, 2014
882014
Control variates for stochastic gradient MCMC
J Baker, P Fearnhead, EB Fox, C Nemeth
Statistics and Computing 29 (3), 599-615, 2019
862019
Stochastic variational inference for hidden Markov models
N Foti, J Xu, D Laird, E Fox
Advances in neural information processing systems 27, 2014
862014
Stochastic variational inference for hidden Markov models
N Foti, J Xu, D Laird, E Fox
Advances in neural information processing systems 27, 2014
862014
Neural granger causality for nonlinear time series
A Tank, I Covert, N Foti, A Shojaie, E Fox
stat 1050, 16, 2018
692018
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Articles 1–20