Andrew Duncan
7 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (5)
🐝
Cross-Pollinator
(9)
🗺️
Taxonomy Completionist
(19)
🏆
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
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
NIPS 2024
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing
COLT 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
NIPS 2023
On the geometry of Stein variational gradient descent
JMLR 2023
Energy-Based Models for Functional Data using Path Measure Tilting
AISTATS 2023
Grassmann Stein Variational Gradient Descent
AISTATS 2022
Minimum Stein Discrepancy Estimators
NIPS 2019