2025 "covariate shift" Papers

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Benign Overfitting in Out-of-Distribution Generalization of Linear Models

Shange Tang, Jiayun Wu, Jianqing Fan et al.

ICLR 2025posterarXiv:2412.14474

BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics

Lukas Rauch, Raphael Schwinger, Moritz Wirth et al.

ICLR 2025posterarXiv:2403.10380

DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection

Francisco Caetano, Christiaan Viviers, Luis Zavala-Mondragón et al.

ICCV 2025posterarXiv:2501.08005

Estimating Model Performance Under Covariate Shift Without Labels

Jakub Białek, Juhani Kivimäki, Wojciech Kuberski et al.

NeurIPS 2025posterarXiv:2401.08348

Graph Data Selection for Domain Adaptation: A Model-Free Approach

Ting-Wei Li, Ruizhong Qiu, Hanghang Tong

NeurIPS 2025posterarXiv:2505.17293

Quantifying Uncertainty in the Presence of Distribution Shifts

Yuli Slavutsky, David Blei

NeurIPS 2025posterarXiv:2506.18283

Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression

Yeichan Kim, Ilmun Kim, Seyoung Park

NeurIPS 2025spotlightarXiv:2510.15337