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08/20/2023
Model Selection over Partially Ordered Sets
In problems such as variable selection and graph estimation, models are ...
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07/18/2023
Causality-oriented robustness: exploiting general additive interventions
Since distribution shifts are common in real-world applications, there i...
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11/27/2022
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
We consider the problem of recovering the causal structure underlying ob...
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04/01/2022
Provable concept learning for interpretable predictions using variational inference
In safety critical applications, practitioners are reluctant to trust ne...
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11/29/2021
A Fast Non-parametric Approach for Causal Structure Learning in Polytrees
We study the problem of causal structure learning with no assumptions on...
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01/18/2021
Perturbations and Causality in Gaussian Models
Causal inference is understood to be a very challenging problem with obs...
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10/19/2020
Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood
Fitting a graphical model to a collection of random variables given samp...
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10/19/2018
False Discovery and Its Control in Low Rank Estimation
Models specified by low-rank matrices are ubiquitous in contemporary app...
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10/15/2018