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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

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

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

Stochastic Gradient Hamiltonian Monte Carlo

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

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

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

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

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

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

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