Saved in:
| Main Authors: | Pournaderi, Mehrdad, Xiang, Yu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.16594 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms
by: Pournaderi, Mehrdad, et al.
Published: (2024)
by: Pournaderi, Mehrdad, et al.
Published: (2024)
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach
by: Pournaderi, Mehrdad, et al.
Published: (2022)
by: Pournaderi, Mehrdad, et al.
Published: (2022)
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
by: Zhang, Daofu, et al.
Published: (2025)
by: Zhang, Daofu, et al.
Published: (2025)
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
by: Bairaktari, Konstantina, et al.
Published: (2025)
by: Bairaktari, Konstantina, 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)
General and Estimable Learning Bound Unifying Covariate and Concept Shifts
by: Chen, Hongbo, et al.
Published: (2025)
by: Chen, Hongbo, et al.
Published: (2025)
Optimal Policy Adaptation under Covariate Shift
by: Liu, Xueqing, et al.
Published: (2025)
by: Liu, Xueqing, 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)
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)
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)
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)
Minimum-Norm Interpolation Under Covariate Shift
by: Mallinar, Neil, et al.
Published: (2024)
by: Mallinar, Neil, et al.
Published: (2024)
Learning Stable Predictors from Weak Supervision under Distribution Shift
by: Shoeibi, Mehrdad, et al.
Published: (2026)
by: Shoeibi, Mehrdad, et al.
Published: (2026)
Spectral Algorithms under Covariate Shift
by: Fan, Jun, et al.
Published: (2025)
by: Fan, Jun, et al.
Published: (2025)
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)
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)
Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift
by: Dong, Jinzong, et al.
Published: (2026)
by: Dong, Jinzong, et al.
Published: (2026)
Weight Clipping for Robust Conformal Inference under Unbounded Covariate Shifts
by: Wang, James, et al.
Published: (2026)
by: Wang, James, et al.
Published: (2026)
Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
by: Wang, Bohan, et al.
Published: (2024)
by: Wang, Bohan, et al.
Published: (2024)
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)
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)
Distributed Multiple Testing with False Discovery Rate Control in the Presence of Byzantines
by: Zhang, Daofu, et al.
Published: (2025)
by: Zhang, Daofu, et al.
Published: (2025)
Coverage Guarantees for Pseudo-Calibrated Conformal Prediction under Distribution Shift
by: Siahkali, Farbod, et al.
Published: (2026)
by: Siahkali, Farbod, et al.
Published: (2026)
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
by: Zhao, Chen, et al.
Published: (2023)
by: Zhao, Chen, et al.
Published: (2023)
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)
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)
Estimating Unbounded Density Ratios: Applications in Error Control under Covariate Shift
by: Xu, Shuntuo, et al.
Published: (2025)
by: Xu, Shuntuo, et al.
Published: (2025)
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
by: Li, Dong, et al.
Published: (2024)
by: Li, Dong, et al.
Published: (2024)
Conformal Predictive Systems Under Covariate Shift
by: Jonkers, Jef, et al.
Published: (2024)
by: Jonkers, Jef, et al.
Published: (2024)
Nearest Neighbor Sampling for Covariate Shift Adaptation
by: Portier, François, et al.
Published: (2023)
by: Portier, François, et al.
Published: (2023)
Adaptive Estimation and Learning under Temporal Distribution Shift
by: Baby, Dheeraj, et al.
Published: (2025)
by: Baby, Dheeraj, et al.
Published: (2025)
Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts
by: Kern, Christoph, et al.
Published: (2024)
by: Kern, Christoph, et al.
Published: (2024)
Low-rank Momentum Factorization for Memory Efficient Training
by: Mahdavinia, Pouria, et al.
Published: (2025)
by: Mahdavinia, Pouria, et al.
Published: (2025)
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls
by: Wang, Tianyu, et al.
Published: (2024)
by: Wang, Tianyu, et al.
Published: (2024)
Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
by: Joshi, Sunay, et al.
Published: (2025)
by: Joshi, Sunay, et al.
Published: (2025)
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)
Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift
by: Goksu, Ozgu, et al.
Published: (2024)
by: Goksu, Ozgu, et al.
Published: (2024)
Efficient and Provable Algorithms for Covariate Shift
by: Adil, Deeksha, et al.
Published: (2025)
by: Adil, Deeksha, et al.
Published: (2025)
Transfer Learning for Meta-analysis Under Covariate Shift
by: Wang, Zilong, et al.
Published: (2026)
by: Wang, Zilong, et al.
Published: (2026)
Similar Items
-
Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms
by: Pournaderi, Mehrdad, et al.
Published: (2024) -
On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach
by: Pournaderi, Mehrdad, et al.
Published: (2022) -
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
by: Zhang, Daofu, et al.
Published: (2025) -
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
by: Bairaktari, Konstantina, et al.
Published: (2025) -
Distributionally Robust Coreset Selection under Covariate Shift
by: Tanaka, Tomonari, et al.
Published: (2025)