Saved in:
| Main Authors: | Liu, Xueqing, Yang, Qinwei, Tian, Zhaoqing, Guo, Ruocheng, Wu, Peng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.08067 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Identification and Estimation of Long-Term Treatment Effects with Monotone Missing
by: Yang, Qinwei, et al.
Published: (2025)
by: Yang, Qinwei, et al.
Published: (2025)
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
by: Guo, Yihong, et al.
Published: (2024)
by: Guo, Yihong, et al.
Published: (2024)
Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition
by: Liu, Yuanshi, et al.
Published: (2025)
by: Liu, Yuanshi, et al.
Published: (2025)
Conformal Counterfactual Inference under Hidden Confounding
by: Chen, Zonghao, et al.
Published: (2024)
by: Chen, Zonghao, et al.
Published: (2024)
Unbounded Density Ratio Estimation and Its Application to Covariate Shift Adaptation
by: Liu, Ren-Rui, et al.
Published: (2026)
by: Liu, Ren-Rui, et al.
Published: (2026)
Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift
by: Liu, Ren-Rui, et al.
Published: (2025)
by: Liu, Ren-Rui, et al.
Published: (2025)
Nearest Neighbor Sampling for Covariate Shift Adaptation
by: Portier, François, et al.
Published: (2023)
by: Portier, François, et al.
Published: (2023)
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
by: Wu, Jiayun, et al.
Published: (2024)
by: Wu, Jiayun, et al.
Published: (2024)
Spectral Algorithms under Covariate Shift
by: Fan, Jun, et al.
Published: (2025)
by: Fan, Jun, et al.
Published: (2025)
Distributionally Robust Coreset Selection under Covariate Shift
by: Tanaka, Tomonari, et al.
Published: (2025)
by: Tanaka, Tomonari, et al.
Published: (2025)
Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift
by: Dong, Jinzong, et al.
Published: (2026)
by: Dong, Jinzong, et al.
Published: (2026)
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation
by: Liu, Yuhang, et al.
Published: (2022)
by: Liu, Yuhang, et al.
Published: (2022)
Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
by: Zhang, Zhen, et al.
Published: (2025)
by: Zhang, Zhen, et al.
Published: (2025)
Training-Conditional Coverage Bounds under Covariate Shift
by: Pournaderi, Mehrdad, et al.
Published: (2024)
by: Pournaderi, Mehrdad, et al.
Published: (2024)
Test-time Adaptation for Cross-modal Retrieval with Query Shift
by: Li, Haobin, et al.
Published: (2024)
by: Li, Haobin, et al.
Published: (2024)
Computational Efficiency under Covariate Shift in Kernel Ridge Regression
by: Della Vecchia, Andrea, et al.
Published: (2025)
by: Della Vecchia, Andrea, et al.
Published: (2025)
Distributionally Robust Safe Sample Elimination under Covariate Shift
by: Hanada, Hiroyuki, et al.
Published: (2024)
by: Hanada, Hiroyuki, et al.
Published: (2024)
Safe Distributionally Robust Feature Selection under Covariate Shift
by: Hanada, Hiroyuki, et al.
Published: (2026)
by: Hanada, Hiroyuki, et al.
Published: (2026)
Conformalized Signal Temporal Logic Inference under Covariate Shift
by: Wang, Yixuan, et al.
Published: (2026)
by: Wang, Yixuan, et al.
Published: (2026)
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
by: Kato, Masahiro, et al.
Published: (2023)
by: Kato, Masahiro, et al.
Published: (2023)
GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models
by: He, Zhixia, et al.
Published: (2024)
by: He, Zhixia, et al.
Published: (2024)
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
by: Zhao, Chen, et al.
Published: (2023)
by: Zhao, Chen, et al.
Published: (2023)
Learning Counterfactual Outcomes Under Rank Preservation
by: Wu, Peng, et al.
Published: (2025)
by: Wu, Peng, et al.
Published: (2025)
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
by: Chen, Yihang, et al.
Published: (2024)
by: Chen, Yihang, et al.
Published: (2024)
Weight Clipping for Robust Conformal Inference under Unbounded Covariate Shifts
by: Wang, James, et al.
Published: (2026)
by: Wang, James, et al.
Published: (2026)
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
by: Fujikawa, Mitsuhiro, et al.
Published: (2024)
by: Fujikawa, Mitsuhiro, et al.
Published: (2024)
Node-Level Uncertainty Estimation in LLM-Generated SQL
by: Hasson, Hilaf, et al.
Published: (2025)
by: Hasson, Hilaf, et al.
Published: (2025)
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
by: Zhao, Xinjian, et al.
Published: (2024)
by: Zhao, Xinjian, et al.
Published: (2024)
Inference-time Stochastic Ranking with Risk Control
by: Guo, Ruocheng, et al.
Published: (2023)
by: Guo, Ruocheng, et al.
Published: (2023)
Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift
by: Enabe, Paulo Akira F.
Published: (2026)
by: Enabe, Paulo Akira F.
Published: (2026)
CoRA: Covariate-Aware Adaptation of Time Series Foundation Models
by: Qin, Guo, et al.
Published: (2025)
by: Qin, Guo, et al.
Published: (2025)
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
by: Zhang, Yu-Jie, et al.
Published: (2023)
by: Zhang, Yu-Jie, et al.
Published: (2023)
Optimal Classification under Performative Distribution Shift
by: Cyffers, Edwige, et al.
Published: (2024)
by: Cyffers, Edwige, et al.
Published: (2024)
Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises
by: Guo, Zirun, et al.
Published: (2025)
by: Guo, Zirun, et al.
Published: (2025)
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
by: Ott, Felix, et al.
Published: (2022)
by: Ott, Felix, et al.
Published: (2022)
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
by: Li, Dong, et al.
Published: (2024)
by: Li, Dong, et al.
Published: (2024)
Minimum-Norm Interpolation Under Covariate Shift
by: Mallinar, Neil, et al.
Published: (2024)
by: Mallinar, Neil, et al.
Published: (2024)
Conformal Predictive Systems Under Covariate Shift
by: Jonkers, Jef, et al.
Published: (2024)
by: Jonkers, Jef, et al.
Published: (2024)
Position: The Inevitable End of One-Architecture-Fits-All-Domains in Time Series Forecasting
by: Ma, Qinwei, et al.
Published: (2026)
by: Ma, Qinwei, et al.
Published: (2026)
Robust Multi-Source Domain Adaptation under Label Shift
by: Xu, Congbin, et al.
Published: (2025)
by: Xu, Congbin, et al.
Published: (2025)
Similar Items
-
Identification and Estimation of Long-Term Treatment Effects with Monotone Missing
by: Yang, Qinwei, et al.
Published: (2025) -
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
by: Guo, Yihong, et al.
Published: (2024) -
Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition
by: Liu, Yuanshi, et al.
Published: (2025) -
Conformal Counterfactual Inference under Hidden Confounding
by: Chen, Zonghao, et al.
Published: (2024) -
Unbounded Density Ratio Estimation and Its Application to Covariate Shift Adaptation
by: Liu, Ren-Rui, et al.
Published: (2026)