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Babak Salimi

Learning from Uncertain Data: From Possible Worlds to Possible Models

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May 28, 2024
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Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation

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Apr 21, 2024
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Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects

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Mar 17, 2024
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OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport

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Mar 04, 2024
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Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias

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Dec 21, 2022
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Combining Counterfactuals With Shapley Values To Explain Image Models

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Jun 14, 2022
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Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces

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Jun 10, 2022
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Interpretable Data-Based Explanations for Fairness Debugging

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Dec 17, 2021
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Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals

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Mar 22, 2021
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Causal Relational Learning

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Apr 07, 2020
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