Michael Hughes
6 papers · 2015–2022 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(4)
Learning Types
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Models
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications · Reinforcement Learning
(1)
Applications · Natural Language Processing
(1)
Keywords
variational inference
(3)
topic model
(2)
probabilistic modeling
(2)
bayesian inference
(1)
latent dirichlet allocation
(1)
text analysis
(1)
neural network interpretability
(1)
nonparametric model
(1)
gradient descent
(1)
batch learning
(1)
hierarchical dirichlet process
(1)
off-policy learning
(1)
nonparametric topic model
(1)
posterior approximation
(1)
stochastic variational inference
(1)
admixture model
(1)
generalized linear model
(1)
deep neural network
(1)
decision tree
(1)
imbalanced classification
(1)
Papers
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
ICML 2022
Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision Constraint
AISTATS 2022
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning
AISTATS 2020
Regional Tree Regularization for Interpretability in Deep Neural Networks
AAAI 2020
Semi-Supervised Prediction-Constrained Topic Models
AISTATS 2018
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process
AISTATS 2015