James McInerney
7 papers · 2013–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π
Conference Pioneer
π
Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Optimization & Theory
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Types Β· Machine Learning
(2)
Reinforcement Learning
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Methods
(1)
Models
(1)
Optimization
(1)
Keywords
variational inference
(3)
latent dirichlet allocation
(2)
uncertainty quantification
(2)
epistemic uncertainty
(1)
data subsampling
(1)
bayesian modeling
(1)
model uncertainty
(1)
laplace approximation
(1)
deterministic annealing
(1)
posterior inference
(1)
exponential family
(1)
fitted q-iteration
(1)
asymptotic variance
(1)
batch reinforcement learning
(1)
log loss
(1)
dirichlet process mixture
(1)
bayesian optimization
(1)
streaming data
(1)
empirical baye
(1)
confidence interval
(1)
Papers
Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty
AISTATS 2025
Switching the Loss Reduces the Cost in Batch Reinforcement Learning
ICML 2024
The Implicit Delta Method
NeurIPS 2022
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
NeurIPS 2017
Variational Tempering
AISTATS 2016
The Population Posterior and Bayesian Modeling on Streams
NeurIPS 2015
Forecasting Multi-Appliance Usage for Smart Home Energy Management
IJCAI 2013