Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xiaohan, Ning, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Robust Treatment Rules for Censored Data
by: Cui, Yifan, et al.
Published: (2024)
by: Cui, Yifan, et al.
Published: (2024)
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
by: Lamprinakou, Stamatina, et al.
Published: (2025)
by: Lamprinakou, Stamatina, et al.
Published: (2025)
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
by: Duan, Jingyi, et al.
Published: (2024)
by: Duan, Jingyi, et al.
Published: (2024)
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
by: Rodemann, Julian, et al.
Published: (2025)
by: Rodemann, Julian, et al.
Published: (2025)
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
by: Jin, Jikai, et al.
Published: (2024)
by: Jin, Jikai, et al.
Published: (2024)
Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach
by: Zheng, Mingyi, et al.
Published: (2026)
by: Zheng, Mingyi, et al.
Published: (2026)
Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)
by: Wei, Song, et al.
Published: (2023)
Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
by: Bateni, Borna, et al.
Published: (2025)
by: Bateni, Borna, et al.
Published: (2025)
Optimal Decision Rules Under Partial Identification
by: Yata, Kohei
Published: (2021)
by: Yata, Kohei
Published: (2021)
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)
by: McGrath, Sean, et al.
Published: (2025)
Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
by: Xu, Yichen, et al.
Published: (2026)
by: Xu, Yichen, et al.
Published: (2026)
Treatment Effect Estimation with Observational Network Data using Machine Learning
by: Emmenegger, Corinne, et al.
Published: (2022)
by: Emmenegger, Corinne, et al.
Published: (2022)
Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
by: Zhang, Yue, et al.
Published: (2025)
by: Zhang, Yue, et al.
Published: (2025)
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
by: Shen, Ye, et al.
Published: (2021)
by: Shen, Ye, et al.
Published: (2021)
Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
by: Li, Chenze, et al.
Published: (2025)
by: Li, Chenze, et al.
Published: (2025)
Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
by: Kumar, Shivam, et al.
Published: (2025)
by: Kumar, Shivam, et al.
Published: (2025)
Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data
by: Sakaguchi, Shosei
Published: (2024)
by: Sakaguchi, Shosei
Published: (2024)
Estimation of Treatment Effects in Extreme and Unobserved Data
by: Tan, Jiyuan, et al.
Published: (2025)
by: Tan, Jiyuan, et al.
Published: (2025)
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
by: Agarwal, Medha, et al.
Published: (2026)
by: Agarwal, Medha, et al.
Published: (2026)
Transfer Learning for Nonparametric Contextual Dynamic Pricing
by: Wang, Fan, et al.
Published: (2025)
by: Wang, Fan, et al.
Published: (2025)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)
by: Shen, Yinan, et al.
Published: (2026)
Ask for More Than Bayes Optimal: A Theory of Indecisions for Classification
by: Ndaoud, Mohamed, et al.
Published: (2024)
by: Ndaoud, Mohamed, et al.
Published: (2024)
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
by: Bai, Ruiqi, et al.
Published: (2024)
by: Bai, Ruiqi, et al.
Published: (2024)
Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation
by: Sengupta, Saikat, et al.
Published: (2025)
by: Sengupta, Saikat, et al.
Published: (2025)
Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
by: Jain, Saksham, et al.
Published: (2026)
by: Jain, Saksham, et al.
Published: (2026)
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
by: Kim, Seok-Jin
Published: (2026)
by: Kim, Seok-Jin
Published: (2026)
Globally-Optimal Greedy Experiment Selection for Active Sequential Estimation
by: Li, Xiaoou, et al.
Published: (2024)
by: Li, Xiaoou, et al.
Published: (2024)
Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
by: Tian, Ye, et al.
Published: (2022)
by: Tian, Ye, et al.
Published: (2022)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)
by: Ge, Jiawei, et al.
Published: (2024)
Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
by: Ma, Zhengchi, et al.
Published: (2024)
by: Ma, Zhengchi, et al.
Published: (2024)
Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
by: Li, Yufan, et al.
Published: (2025)
by: Li, Yufan, et al.
Published: (2025)
Differentially Private Two-Stage Empirical Risk Minimization with Applications to Individualized Treatment Rule
by: Lee, Joowon, et al.
Published: (2026)
by: Lee, Joowon, et al.
Published: (2026)
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
by: Cai, Yang, et al.
Published: (2025)
by: Cai, Yang, et al.
Published: (2025)
Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models
by: Lecoiu, Radu, et al.
Published: (2026)
by: Lecoiu, Radu, et al.
Published: (2026)
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings
by: Chakrabortty, Abhishek, et al.
Published: (2022)
by: Chakrabortty, Abhishek, et al.
Published: (2022)
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026)
by: Ponnoprat, Donlapark, et al.
Published: (2026)
Le Cam Distortion: A Decision-Theoretic Framework for Robust Transfer Learning
by: Akdemir, Deniz
Published: (2025)
by: Akdemir, Deniz
Published: (2025)
Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
by: McGrath, Sean, et al.
Published: (2022)
by: McGrath, Sean, et al.
Published: (2022)
Estimating the Number of Components in Finite Mixture Models via Variational Approximation
by: Wang, Chenyang, et al.
Published: (2024)
by: Wang, Chenyang, et al.
Published: (2024)
Similar Items
-
Learning Robust Treatment Rules for Censored Data
by: Cui, Yifan, et al.
Published: (2024) -
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
by: Lamprinakou, Stamatina, et al.
Published: (2025) -
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
by: Duan, Jingyi, et al.
Published: (2024) -
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
by: Rodemann, Julian, et al.
Published: (2025) -
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
by: Jin, Jikai, et al.
Published: (2024)