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Stochastic Gradient MCMC Methods for Hidden Markov Models

Conference paper
Yi-An Ma, Nicholas Foti, & Emily B. Fox
International Conference on Machine Learning (ICML)
Publication year: 2017

Sparse Graphs using Exchangeable Random Measures

Journal paper
Francois Caron and Emily B. Fox
To appear in Journal of the Royal Statistical Society: Series B (read paper)
Publication year: 2017

Identifiability and Estimation of Structural Vector Autoregressive Models for Subsampled and Mixed Frequency Time Series.

Preprint
Alex Tank, Emily B. Fox, and Ali Shojaie
arXiv:1704.02519
Publication year: 2017

Control Variates for Stochastic Gradient MCMC

Preprint
Jack Baker, Paul Fearnhead, Emily B. Fox, & Christopher Nemeth
arXiv:1706.05439
Publication year: 2017

Clustering Correlated, Sparse Data Streams to Estimate a Localized Housing Price Index

Journal paper
You Ren, Emily B. Fox, & Andrew Bruce
Annals of Applied Statistics, Vol. 11, No. 2, pp. 808-839
Publication year: 2017

Temporal Behavior of Seizures and Interictal Bursts in Prolonged Intracranial Recordings from Epileptic Canines

Journal paper
Haomeng Ung, Kathryn Davis, Drausin Wulsin, Joost Wagenaar, Emily B. Fox, J. McDonnell, Edward Patterson, Charles Vite, Gregory Worrell, & Brian Litt
Epilepsia, vol. 57, no. 12, pp. 1949-1957
Publication year: 2016

Spatio-Temporal Low Count Processes with Application to Violent Crime Events

Journal paper
Sivan Aldor-Noiman, Lawrence D. Brown, Emily B. Fox, & Robert A. Stine
Statistica Sinica, vol. 26, pp. 1587-1610
Publication year: 2016

Sparse plus low-rank graphical models of time series for functional connectivity in MEG

Workshop paper
Nicholas Foti, Rahul Nadkarni, Adrian KC Lee, & Emily B. Fox
SIGKDD Workshop on Mining and Learning from Time Series
Publication year: 2016

Scalable Clustering of Correlated Time Series using Expectation Propagation

Workshop paper
Christopher Aicher and Emily B. Fox
SIGKDD Workshop on Mining and Learning from Time Series
Publication year: 2016

Mining Continuous Intracranial EEG in Focal Canine Epilepsy: Relating Intracranial Bursts to Seizure Onsets

Journal paper
Kathryn Davis, Drausin Wulsin, Haomeng Ung, Joost Wagenaar, Emily B. Fox, Edward Patterson, Charles Vite, Gregory Worrel, & Brian Litt
Epilepsia, vol. 57, no. 1, pp. 89-98
Publication year: 2016

Identifiability of Non-Gaussian Structural VAR Models for Subsampled and Mixed Frequency Time Series

Workshop paper
Alex Tank, Emily B. Fox, & Ali Shojaie
SIGKDD Workshop on Causal Discovery
Publication year: 2016

Granger Causality Networks for Categorical Time Series

Workshop paper
Alex Tank, Emily B. Fox, & Ali Shojaie
SIGKDD Workshop on Mining and Learning from Time Series
Publication year: 2016

A Unifying Framework for Devising Efficient and Irreversible MCMC Samplers

Preprint
Yi-An Ma, Emily B. Fox, Tianqi Chen, & Lei Wu
arXiv:1608.05973
Publication year: 2016

A Unified Framework for Missing Data and Cold Start Prediction for Time Series Data

Workshop paper
Christopher Xie, Alex Tank, & Emily B. Fox
NIPS Time Series Workshop
Publication year: 2016

A Novel Seizure Detection Algorithm Informed by Hidden Markov Model Event States

Journal paper
Steven Baldassano, Drausin Wulsin, Haomeng Ung, Tyler Blevins, Mesha-Gay Brown, Emily B. Fox, & Brian Litt
Journal of Neural Engineering, vol. 13, no. 3
Publication year: 2016

A Complete Recipe for Stochastic Gradient MCMC

Conference paper
Yi-An Ma, Tianqi Chen, & Emily B. Fox
Advances in Neural Information Processing Systems 28 (NIPS 2015)
Publication year: 2016

Streaming Variational Inference for Bayesian Nonparametric Mixture Models

Conference paper
Alex Tank, Nicholas Foti, & Emily B. Fox
International Conference on Artificial Intelligence and Statistics (AISTATS)
Publication year: 2015

Stochastic Variational Inference for Hidden Markov Models

Conference paper
Nicholas Foti, Jason Xu, Dillon Laird, & Emily B. Fox
Advances in Neural Information Processing Systems 27 (NIPS 2014)
Publication year: 2015

Mixed Membership Models for Time Series

Book chapter
Emily B. Fox and Michael I. Jordan
Handbook of Mixed Membership Models and Their Applications, pp. 417-436, Chapman & Hall
Publication year: 2015

Guest Editors’ Introduction to the Special Issue on Bayesian Nonparametrics

Journal paper
Ryan P. Adams, Emily B. Fox, Erik B. Sudderth, & Yee Whye Teh
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 2, pp. 209-211
Publication year: 2015

Expectation-Maximization for Learning Determinantal Point Processes

Conference paper
Jennifer Gillenwater, Alex Kuleza, Emily B. Fox, & Ben Taskar
Advances in Neural Information Processing Systems 27 (NIPS 2014)
Publication year: 2015

Bayesian Structure Learning for Stationary Time Series

Conference paper
Alex Tank, Nicholas Foti, & Emily B. Fox
Conference on Uncertainty in Artificial Intelligence (UAI)
Publication year: 2015

Bayesian Nonparametric Covariance Regression

Journal paper
Emily B. Fox and David B. Dunson
Journal of Machine Learning Research, vol. 16, pp. 2501-2542
Publication year: 2015

Streaming Variational Inference for Normalized Random Measure Mixture Models

Workshop paper
Alex Tank, Nicholas Foti, & Emily B. Fox
NIPS Workshop on Advances in Variational Inference
Publication year: 2014

Stochastic Gradient Hamiltonian Monte Carlo

Conference paper
Tianqi Chen, Emily B. Fox, & Carlos E. Guestrin
International Conference on Machine Learning (ICML)
Publication year: 2014

Modeling the Complex Dynamics and Changing Correlations of Epileptic Events

Journal paper
Drausin F. Wulsin, Emily B. Fox, & Brian Litt
Artificial Intelligence, vol. 216, pp. 55-75
Publication year: 2014

Learning the Parameters of Determinantal Point Process Kernels

Conference paper
Raja Hafiz Affandi, Emily B. Fox, Ryan P. Adams, & Ben Taskar
International Conference on Machine Learning (ICML)
Publication year: 2014

Joint Modeling of Multiple Time Series via the Beta Process with Application to Motion Capture Segmentation

Journal paper
Emily B. Fox, Michael C. Hughes, Erik B. Sudderth, & Michael I. Jordan
Annals of Applied Statistics, vol. 8, no. 3, pp. 1281-1313
Publication year: 2014

Detecting and Classifying Anomalous Behavior in Spatiotemporal Network Data

Workshop paper
William C. Young, Joshua E. Blumenstock, Emily B. Fox, & Tyler H. McCormick
KDD Workshop on Learning about Emergencies from Social Information
Publication year: 2014

Approximate Inference in Continuous Determinant Point Processes

Conference paper
Raja H. Affandi, Emily B. Fox, & Ben Taskar
Advances in Neural Information Processing Systems 26 (NIPS 2013)
Publication year: 2014

A Bayesian Approach for Predicting the Popularity of Tweets

Journal paper
Tauhid Zaman, Emily B. Fox, & Eric T. Bradlow
Annals of Applied Statistics, vol. 8, no. 3, pp. 1583-1611
Publication year: 2014

Representing Documents Through Their Readers

Conference paper
Khalid El-Arini, Min Xu, Emily B. Fox, & Carlos E. Guestrin
Conference on Knowledge Discovery and Data Mining (KDD)
Publication year: 2013

Parsing Epileptic Events Using a Markov Switching Process Model for Correlated Time Series

Conference paper
Drausin Wulsin, Emily B. Fox, & Brian Litt
International Conference on Machine Learning (ICML)
Publication year: 2013

Nystrom Approximation for Large-Scale Determinantal Processes

Conference paper
Raja H. Affandi, Alex Kulesza, Emily B. Fox, & Ben Taskar
International Conference on Artificial Intelligence and Statistics (AISTATS)
Publication year: 2013

Multiresolution Gaussian Processes

Conference paper
Emily B. Fox and David B. Dunson
Advances in Neural Information Processing Systems 25 (NIPS 2012)
Publication year: 2013

Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequence Data

Conference paper
Michael C. Hughes, Emily B. Fox, & Erik B. Sudderth
Advances in Neural Information Processing Systems 25 (NIPS 2012)
Publication year: 2013

Markov Determinantal Point Processes

Conference paper
Raja H. Affandi, Alex Kulesza, & Emily B. Fox
Conference on Uncertainty in Artificial Intelligence (UAI)
Publication year: 2012

Hierarchical Latent Dictionaries for Models of Brain Activation

Conference paper
Alona M. Fyshe, Emily B. Fox, David B. Dunson, & Tom M. Mitchell
International Conference on Artificial Intelligence and Statistics (AISTATS)
Publication year: 2012

Bayesian Nonparametric Inference of Switching Dynamic Linear Models

Journal paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
IEEE Transactions on Signal Processing, vol. 59, no. 4, pp. 1569-1585
Publication year: 2011

Autoregressive Models for Variance Matrices: Stationary Inverse Wishart Processes

Preprint
Emily B. Fox and Mike West
arXiv:1107.5239
Publication year: 2011

A Sticky HDP-HMM with Application to Speaker Diarization

Journal paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
Annals of Applied Statistics, vol. 5, no. 2A, pp. 1020-1056
Publication year: 2011

Sharing Features among Dynamical Systems with Beta Processes

Conference paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
Advances in Neural Information Processing Systems 22 (NIPS 2009)
Publication year: 2010

Bayesian Nonparametric Methods for Learning Markov Switching Processes

Journal paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
IEEE Signal Processing Magazine, vol. 27, no. 6, pp. 43-54
Publication year: 2010

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems

Conference paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
Advances in Neural Information Processing Systems 21 (NIPS 2008)
Publication year: 2009

Nonparametric Bayesian Identification of Jump Systems with Sparse Dependencies

Conference paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
IFAC Symposium on System Identification
Publication year: 2009

Bayesian Nonparametric Learning of Complex Dynamical Phenomena

Thesis
Emily B. Fox
Doctoral Thesis, Massachusetts Institute of Technology
Publication year: 2009

Nonparametric Learning of Switching Autoregressive Processes

Workshop paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan & Alan S. Willsky
ICML Workshop on Nonparametric Bayes
Publication year: 2008

An HDP-HMM for Systems with State Persistence

Conference paper
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, & Alan S. Willsky
International Conference on Machine Learning (ICML)
Publication year: 2008

Tracking a Non-cooperative Maneuvering Target using Hierarchical Dirichlet Processes

Conference paper
E.B. Fox, E.B. Sudderth, D.S. Choi, A.S. Willsky
Adaptive Sensor Array Processing Conference
Publication year: 2007

Hierarchical Dirichlet Processes for Tracking Maneuvering Targets

Conference paper
Emily B. Fox, Erik B. Sudderth, & Alan S. Willsky
International Conference on Information Fusion (FUSION)
Publication year: 2007

Detection and Localization of Material Releases with Sparse Sensor Configurations

Journal paper
Emily B. Fox, John W. Fisher, & Alan S. Willsky
IEEE Transactions on Signal Processing, vol. 55, no. 5, pp. 1886-1898
Publication year: 2007

Nonparametric Bayesian Methods for Large Scale Multi-Target Tracking

Conference paper
Emily B. Fox, David S. Choi, & Alan S. Willsky
Asilomar Conference On Signals, Systems, and Computers
Publication year: 2006

Detection and Localization of Material Releases with Sparse Sensor Configurations

Conference paper
Emily B. Fox, Jason L. Williams, John W. Fisher, & Alan S. Willsky
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Publication year: 2006

Information Fusion and Uncertainty Management for Biological Multisensor Systems

Other publication
Jerome J. Braun, Yan Glina, David W. Stein, Peter Skomoroch, & Emily B. Fox
Proceedings of SPIE, vol. 5813
Publication year: 2005

Detection and Localization of Aerosol Releases from Sparse Sensor Measurements

Thesis
Publication year: 2005

Multisensor Information Fusion for Biological Sensor Networks and CBRN Detection

Other publication
Jerome J. Braun, Yan Glina, David W. Stein, & Emily B. Fox
Conference on Science and Technology Chem-Bio Information Systems
Publication year: 2004