Erik Sudderth
8 papers · 2013–2018 · 3 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (5) π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (13)
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Keyword Pioneer
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(3)
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Keyword Collector
(52)
Conferences
NIPS (4)
AISTATS (2)
ICML (2)
Top co-authors
Keywords
variational inference
(5)
bayesian nonparametrics
(3)
graphical model
(2)
nonparametric model
(2)
online learning
(2)
stochastic variational inference
(2)
hierarchical dirichlet process
(2)
topic model
(2)
text analysis
(1)
latent dirichlet allocation
(1)
dirichlet process
(1)
belief propagation
(1)
neural decoding
(1)
mode estimation
(1)
particle filtering
(1)
map inference
(1)
semi-supervised learning
(1)
network analysis
(1)
brain-computer interface
(1)
probabilistic modeling
(1)
Papers
Semi-Supervised Prediction-Constrained Topic Models
AISTATS 2018
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces
NIPS 2017
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process
AISTATS 2015
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
ICML 2015
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models
NIPS 2015
Preserving Modes and Messages via Diverse Particle Selection
ICML 2014
Memoized Online Variational Inference for Dirichlet Process Mixture Models
NIPS 2013
Efficient Online Inference for Bayesian Nonparametric Relational Models
NIPS 2013