Warren Powell
4 papers · 2010–2016 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (10) π£ Hot Topic Early Bird
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Research topics
Keywords
knowledge gradient
(2)
dirichlet process
(2)
bayesian nonparametrics
(1)
online learning
(1)
convex optimization
(1)
bayesian inference
(1)
sequential decision making
(1)
gaussian process
(1)
sparse regression
(1)
nonparametric regression
(1)
lasso regression
(1)
sequential learning
(1)
dirichlet process mixture
(1)
nonparametric density estimation
(1)
kernel weight estimation
(1)
dirichlet process weights
(1)
bayesian optimization
(1)
mixture model
(1)
generalized linear model
(1)
binary feedback
(1)
Papers
A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning
AISTATS 2016
The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks
ICML 2016
Dirichlet Process Mixtures of Generalized Linear Models
AISTATS 2010
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
NeurIPS 2010