Joshua Dillon
8 papers · 2005–2021 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (19) 🧭 Keyword Pioneer
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Venues
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Research topics
Machine Learning
(6)
Deep Learning
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Optimization & Theory · Machine Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Core AI
(2)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
out-of-distribution detection
(2)
variational inference
(2)
representation learning
(1)
anomaly detection
(1)
model calibration
(1)
document representation
(1)
posterior distribution
(1)
mutual information
(1)
mean field
(1)
mean-field approximation
(1)
kernel density estimation
(1)
likelihood ratio
(1)
mixture distribution
(1)
dataset shift
(1)
generative model
(1)
latent variable model
(1)
latent variable
(1)
genomic sequence
(1)
bayesian neural network
(1)
ood detection
(1)
Papers
Automatic Differentiation Variational Inference with Mixtures
AISTATS 2021
Density of States Estimation for Out of Distribution Detection
AISTATS 2021
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
ICML 2020
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
NeurIPS 2019
Likelihood Ratios for Out-of-Distribution Detection
NeurIPS 2019
Fixing a Broken ELBO
ICML 2018
The Locally Weighted Bag of Words Framework for Document Representation
JMLR 2007
Statistical and Computational Tradeoffs in Stochastic Composite Likelihood
AISTATS 2005