Raanan Y. Rohekar
4 papers · 2018–2023 · 1 venue · across top CS/AI venues
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Keywords
causal discovery
(2)
zero-shot learning
(1)
structure learning
(1)
causal structure
(1)
conditional independence
(1)
bayesian network
(1)
graphical model
(1)
structural equation model
(1)
convolutional network
(1)
selection bia
(1)
graph algorithm
(1)
latent confounder
(1)
bayesian structure learning
(1)
constraint-based learning
(1)
causal relationship
(1)
faithfulness assumption
(1)
neural network
(1)
recursive bootstrap
(1)
generative graph
(1)
causal inference
(1)
Papers
Causal Interpretation of Self-Attention in Pre-Trained Transformers
NeurIPS 2023
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
NeurIPS 2021
Bayesian Structure Learning by Recursive Bootstrap
NeurIPS 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning
NeurIPS 2018