Emily B. Fox
13 papers · 2008–2019 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Conference Polyglot (4)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(4)
ποΈ
Keyword Collector
(78)
π
Trend Setter
π
Century Club
(13)
π
Conference Pioneer
Conferences
NIPS (9)
ICML (2)
JMLR (1)
UAI (1)
Top co-authors
Keywords
markov chain monte carlo
(6)
bayesian inference
(5)
bayesian nonparametrics
(4)
time series
(4)
hidden markov model
(3)
variational inference
(3)
beta process
(2)
stochastic gradient mcmc
(2)
latent factor model
(2)
stochastic gradient
(2)
determinantal point process
(2)
sequential datum
(2)
kernel learning
(1)
expectation maximization
(1)
nonparametric bayesian
(1)
gaussian processes
(1)
matrix factorization
(1)
representation learning
(1)
dirichlet process
(1)
gaussian process
(1)
Papers
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias
UAI 2019
Large-Scale Stochastic Sampling from the Probability Simplex
NIPS 2018
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis
ICML 2018
Stochastic Gradient MCMC Methods for Hidden Markov Models
ICML 2017
A Complete Recipe for Stochastic Gradient MCMC
NIPS 2015
Bayesian Nonparametric Covariance Regression
JMLR 2015
Expectation-Maximization for Learning Determinantal Point Processes
NIPS 2014
Stochastic variational inference for hidden Markov models
NIPS 2014
Approximate Inference in Continuous Determinantal Processes
NIPS 2013
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data
NIPS 2012
Multiresolution Gaussian Processes
NIPS 2012
Sharing Features among Dynamical Systems with Beta Processes
NIPS 2009
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
NIPS 2008