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Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
Arxiv
0+阅读 · 10月1日
Rethinking Layer-wise Model Merging through Chain of Merges
Arxiv
0+阅读 · 10月1日
Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
Arxiv
0+阅读 · 9月29日
SpeedCP: Fast Kernel-based Conditional Conformal Prediction
Arxiv
0+阅读 · 9月28日
Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
Arxiv
0+阅读 · 9月16日
Rethinking Layer-wise Model Merging through Chain of Merges
Arxiv
0+阅读 · 8月29日
Training-Conditional Coverage Bounds under Covariate Shift
Arxiv
0+阅读 · 7月1日
Training-Conditional Coverage Bounds under Covariate Shift
Arxiv
0+阅读 · 7月7日
A Generative Conditional Distribution Equality Testing Framework and Its Minimax Analysis
Arxiv
0+阅读 · 9月22日
A Generative Conditional Distribution Equality Testing Framework and Its Minimax Analysis
Arxiv
0+阅读 · 9月24日
TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion
Arxiv
0+阅读 · 8月14日
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation
Arxiv
0+阅读 · 4月1日
Domain Adaptation Under MNAR Missingness
Arxiv
0+阅读 · 4月1日
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
Arxiv
0+阅读 · 3月31日
Robust Offline Imitation Learning Through State-level Trajectory Stitching
Arxiv
0+阅读 · 3月28日
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