Andrew B. Duncan
4 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(3)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Methods
(1)
Optimization & Theory
(1)
Keywords
robustness
(1)
bayesian inference
(1)
gaussian processes
(1)
uncertainty quantification
(1)
statistical testing
(1)
two-sample test
(1)
sensor placement
(1)
markov chain
(1)
maximum mean discrepancy
(1)
outliers
(1)
simulation-based inference
(1)
functional data
(1)
energy-based model
(1)
nonparametric test
(1)
joint distribution
(1)
goodness-of-fit test
(1)
state space
(1)
kernelized stein discrepancy
(1)
stochastic simulation
(1)
kernel methods
(1)
Papers
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
AISTATS 2025
Robust and Conjugate Spatio-Temporal Gaussian Processes
ICML 2025
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
ICML 2023
A Kernel Two-Sample Test for Functional Data
JMLR 2022