Qingyao Sun

most citedBeyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations

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stat.ML2022

Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of $ℓ_{2}$ Regularization

Qingyao Sun

While $ℓ_{2}$ regularization is widely used in training gradient boosted trees, popular individualized feature attribution methods for trees such as Saabas and TreeSHAP overlook t…

stat.ML2022★ 1 cited

Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations

Qingyao Sun, Kevin Murphy, Sayna Ebrahimi +1

Changes in the data distribution at test time can have deleterious effects on the performance of predictive models $p (y ∣ x)$ . We consider situations where there are additional meta-…

Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of ℓ2​ Regularization

Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations

Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of $ℓ_{2}$ Regularization