Gregory F. Cooper
7 papers · 2004–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (10) πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(4)
π
Academic Marathon
(20)
π§¬
Topic Evolution
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Keyword Champion
(2)
π
Trend Setter
Conferences
AISTATS (2)
JMLR (2)
PGM (2)
UAI (1)
Top co-authors
Keywords
causal inference
(3)
feature selection
(2)
instance-specific learning
(2)
treatment effect
(2)
bayesian model averaging
(1)
supervised classification
(1)
markov boundary
(1)
model averaging
(1)
bayesian network
(1)
graphical model
(1)
causal mechanism
(1)
observational datum
(1)
markov blanket
(1)
context-specific independence
(1)
experimental datum
(1)
bayesian method
(1)
predictive model
(1)
conditional treatment effect
(1)
bayesian network structure learning
(1)
naive baye
(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