(2022). Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data. In NeurIPS 2022.

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(2022). Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability. NeurIPS 2022 Datasets and Benchmarks Track.

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(2022). Data-SUITE: Data-centric identification of in-distribution incongruous examples. In ICML 2022.

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(2022). DAUX: a Density-based Approach for Uncertainty eXplanations. In ICML 2022 DFUQ Workshop.

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(2021). Explaining Latent Representations with a Corpus of Examples. In NeurIPS 2021.

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(2021). Explaining Time Series Predictions with Dynamic Masks. In ICML 2021.

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(2020). Learning outside the black-box: the pursuit of interpretable models. In NeurIPS 2020.

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