James G. Scott
4 papers · 2005–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Academic Marathon ยท Ultra
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Interdisciplinary Bridge ยท Bronze
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
causal inference
(1)
representation learning
(1)
piecewise constant signals
(1)
mean squared error
(1)
amortized inference
(1)
fused lasso
(1)
observational study
(1)
normalizing flow
(1)
simulation-based inference
(1)
air pollution
(1)
confounding adjustment
(1)
graph signal
(1)
linear time algorithm
(1)
potential outcome
(1)
neural posterior estimation
(1)
conditional diffusion
(1)
total variation denoising
(1)
balancing score
(1)
non-local confounding
(1)
Papers
Conditional diffusions for amortized neural posterior estimation
AISTATS 2025
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies
AAAI 2023
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
JMLR 2018
Handling Sparsity via the Horseshoe
AISTATS 2005