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d5c04aa72b92c53bda5b525b60958295-Supplemental-Conference.pdf

Neural Information Processing Systems

Westudy linear regression under covariate shift, where themarginal distribution over the input covariates differs in the source and the target domains, while the conditional distribution of the output given the input covariates is similar across thetwodomains.



Sample Complexity of Interventional Causal Representation Learning

Neural Information Processing Systems

Consider a data-generation process that transforms low-dimensional latent causally-related variables to high-dimensional observed variables. Causal representation learning (CRL) is the process of using the observed data to recover the latent causal variables and the causal structure among them.


ApproximateValueEquivalence

Neural Information Processing Systems

This gives rise to a rich collection oftopological relationships and conditions under which VE models are optimal for planning. Despite this effort, relatively little is known about the planning performance of models that fail to satisfy these conditions.