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Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift
Arxiv
0+阅读 · 6月21日
Convergence Analysis of Nyström Subsampling in Covariate Shift Adaptation for Misspecified case
Arxiv
0+阅读 · 6月20日
PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs
Arxiv
0+阅读 · 6月18日
Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
Arxiv
0+阅读 · 6月12日
SpeedCP: Fast Kernel-based Conditional Conformal Prediction
Arxiv
0+阅读 · 5月28日
Predicting Current Outcomes From Historical Survey Data With Weighted Conformal Prediction
Arxiv
0+阅读 · 6月9日
Unbounded Density Ratio Estimation and Its Application to Covariate Shift Adaptation
Arxiv
0+阅读 · 3月31日
Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization
Arxiv
0+阅读 · 4月9日
Safe Distributionally Robust Feature Selection under Covariate Shift
Arxiv
0+阅读 · 3月17日
Structured Credal Learning
Arxiv
0+阅读 · 3月14日
Know When to Abstain: Optimal Selective Classification with Likelihood Ratios
Arxiv
0+阅读 · 3月3日
Representative, Informative, and De-Amplifying: Requirements for Robust Bayesian Active Learning under Model Misspecification
Arxiv
0+阅读 · 2月26日
Missing At Random as Covariate Shift: Correcting Bias in Iterative Imputation
Arxiv
0+阅读 · 2月6日
Positive Distribution Shift as a Framework for Understanding Tractable Learning
Arxiv
0+阅读 · 2月12日
Positive Distribution Shift as a Framework for Understanding Tractable Learning
Arxiv
0+阅读 · 2月9日
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