Edwin Bonilla
7 papers · 2013–2021 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
variational inference
(6)
gaussian process
(5)
evidence lower bound
(2)
structured prediction
(1)
natural language processing
(1)
random feature approximation
(1)
markov chain monte carlo
(1)
time series
(1)
network inference
(1)
nonparametric regression
(1)
algorithmic stability
(1)
sparse approximation
(1)
multi-output regression
(1)
posterior approximation
(1)
linear-chain conditional random fields
(1)
gaussian process prior
(1)
sequential data
(1)
control variate
(1)
mixture of expert
(1)
signature kernel
(1)
Papers
Distribution Regression for Sequential Data
AISTATS 2021
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
AISTATS 2021
Variational Network Inference: Strong and Stable with Concrete Support
ICML 2018
Gray-box Inference for Structured Gaussian Process Models
AISTATS 2017
Extended and Unscented Kitchen Sinks
ICML 2016
Fast Allocation of Gaussian Process Experts
ICML 2014
Efficient Variational Inference for Gaussian Process Regression Networks
AISTATS 2013