Gregory F. Cooper
7 papers · 2004–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (13) π£ Hot Topic Early Bird
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Keyword Pioneer
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Keyword Champion
(2)
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Topic Evolution
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Core Methods
(4)
Optimization & Theory
(4)
Core AI
(3)
Healthcare & Medicine
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Clinical
(2)
Learning Types
(2)
Knowledge & Reasoning
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Learning Paradigms
(1)
Reasoning
(1)
Keywords
causal inference
(3)
observational data
(2)
feature selection
(2)
causal effect estimation
(2)
markov boundary
(2)
bayesian network
(2)
treatment effect
(2)
instance-specific learning
(2)
bayesian regression
(1)
fci algorithm
(1)
model averaging
(1)
interventional prediction
(1)
graphical model
(1)
causal mechanism
(1)
randomized controlled trial
(1)
latent confounding
(1)
bayesian inference
(1)
markov blanket
(1)
context-specific independence
(1)
experimental data
(1)
Papers
Learning Causal Markov Boundaries with Mixed Observational and Experimental Data
PGM 2024
Learning Treatment Effects from Observational and Experimental Data
AISTATS 2023
Causal and interventional Markov boundaries
UAI 2021
On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge
AISTATS 2020
Instance-Specific Bayesian Network Structure Learning
PGM 2018
Learning Instance-Specific Predictive Models
JMLR 2010
Model Averaging for Prediction with Discrete Bayesian Networks
JMLR 2004