Andrew Duncan
7 papers
· 2019–2024
· 4 conferences
· across top CS/AI conferences
Achievements
๐ฃ
Hot Topic Early Bird
๐
Interdisciplinary Bridge
๐งญ
Keyword Pioneer
๐
Conference Polyglot
(4)
๐
Academic Marathon
(5)
๐
Cross-Pollinator
(9)
๐บ๏ธ
Taxonomy Completionist
(19)
๐
Keyword Champion
(2)
Conferences
NIPS (3)
AISTATS (2)
COLT (1)
JMLR (1)
Top co-authors
Keywords
energy-based model
(3)
stochastic process
(2)
kernel methods
(2)
score matching
(2)
markov chain monte carlo
(2)
stein variational gradient descent
(2)
bayesian inference
(2)
gaussian process
(1)
diffusion process
(1)
probability distribution
(1)
reproducing kernel hilbert space
(1)
particle-based inference
(1)
distribution testing
(1)
probabilistic modelling
(1)
diffusion model
(1)
phase transition
(1)
asymptotic normality
(1)
gradient flow
(1)
functional datum
(1)
discrete datum
(1)
Papers
Grassmann Stein Variational Gradient Descent
AISTATS 2022
Minimum Stein Discrepancy Estimators
NIPS 2019