Andrew Duncan
7 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Mathematics & Optimization
(4)
Bayesian & Probabilistic · Machine Learning
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core Methods
(3)
Deep Learning
(2)
Mathematics
(2)
Models
(2)
Optimization
(2)
Learning Types
(1)
Probability
(1)
Keywords
energy-based model
(3)
markov chain monte carlo
(2)
score matching
(2)
stochastic process
(2)
bayesian inference
(2)
stein variational gradient descent
(2)
kernel methods
(2)
high-dimensional statistics
(1)
probability distribution
(1)
high-dimensional inference
(1)
diffusion process
(1)
reproducing kernel hilbert space
(1)
gaussian process
(1)
particle-based inference
(1)
epistemic uncertainty
(1)
probabilistic modelling
(1)
distribution testing
(1)
maximum mean discrepancy
(1)
diffusion model
(1)
synthetic data generation
(1)
Papers
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
NeurIPS 2024
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing
COLT 2023
Energy-Based Models for Functional Data using Path Measure Tilting
AISTATS 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
NeurIPS 2023
On the geometry of Stein variational gradient descent
JMLR 2023
Grassmann Stein Variational Gradient Descent
AISTATS 2022
Minimum Stein Discrepancy Estimators
NeurIPS 2019