ICML 2024 "covariate shift" Papers

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Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)

Drew Prinster, Samuel Stanton, Anqi Liu et al.

ICML 2024posterarXiv:2405.06627

CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection

Lin Zhu, Yifeng Yang, Qinying Gu et al.

ICML 2024posterarXiv:2405.16417

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Yihang Chen, Fanghui Liu, Taiji Suzuki et al.

ICML 2024posterarXiv:2406.03171

Minimum-Norm Interpolation Under Covariate Shift

Neil Mallinar, Austin Zane, Spencer Frei et al.

ICML 2024posterarXiv:2404.00522

Not all distributional shifts are equal: Fine-grained robust conformal inference

Jiahao Ai, Zhimei Ren

ICML 2024posterarXiv:2402.13042

Optimal Ridge Regularization for Out-of-Distribution Prediction

Pratik Patil, Jin-Hong Du, Ryan Tibshirani

ICML 2024spotlightarXiv:2404.01233

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

Benjamin Eyre, Elliot Creager, David Madras et al.

ICML 2024posterarXiv:2312.17463