Saved in:
| Main Authors: | Anancharoenkij, Thatchanon, Ponnoprat, Donlapark |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.04736 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Minimax Rates of Estimation for Optimal Transport Map between Infinite-Dimensional Spaces
by: Ponnoprat, Donlapark, et al.
Published: (2025)
by: Ponnoprat, Donlapark, et al.
Published: (2025)
coverforest: Conformal Predictions with Random Forest in Python
by: Meehinkong, Panisara, et al.
Published: (2025)
by: Meehinkong, Panisara, et al.
Published: (2025)
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack
by: Lumbut, Chayadon, et al.
Published: (2024)
by: Lumbut, Chayadon, et al.
Published: (2024)
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)
Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
by: Zenati, Houssam, et al.
Published: (2025)
by: Zenati, Houssam, et al.
Published: (2025)
Doubly Robust Proxy Causal Learning with Neural Mean Embeddings
by: Bozkurt, Bariscan, et al.
Published: (2026)
by: Bozkurt, Bariscan, et al.
Published: (2026)
Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data
by: Ponnoprat, Donlapark, et al.
Published: (2023)
by: Ponnoprat, Donlapark, et al.
Published: (2023)
Sobolev Norm Learning Rates for Conditional Mean Embeddings
by: Talwai, Prem, et al.
Published: (2021)
by: Talwai, Prem, et al.
Published: (2021)
Direct Doubly Robust Estimation of Conditional Quantile Contrasts
by: Givens, Josh, et al.
Published: (2026)
by: Givens, Josh, et al.
Published: (2026)
Recursive Estimation of Conditional Kernel Mean Embeddings
by: Tamás, Ambrus, et al.
Published: (2023)
by: Tamás, Ambrus, et al.
Published: (2023)
Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
by: Jain, Saksham, et al.
Published: (2026)
by: Jain, Saksham, et al.
Published: (2026)
Counting Graphlets of Size $k$ under Local Differential Privacy
by: Suppakitpaisarn, Vorapong, et al.
Published: (2025)
by: Suppakitpaisarn, Vorapong, et al.
Published: (2025)
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data
by: Ghosh, Shantanu, et al.
Published: (2023)
by: Ghosh, Shantanu, et al.
Published: (2023)
Neural-Kernel Conditional Mean Embeddings
by: Shimizu, Eiki, et al.
Published: (2024)
by: Shimizu, Eiki, et al.
Published: (2024)
Doubly Robust Conditional Independence Testing with Generative Neural Networks
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Non-Parametric Rehearsal Learning via Conditional Mean Embeddings
by: Du, Wen-Bo, et al.
Published: (2026)
by: Du, Wen-Bo, et al.
Published: (2026)
Doubly-Robust Off-Policy Evaluation with Estimated Logging Policy
by: Lee, Kyungbok, et al.
Published: (2024)
by: Lee, Kyungbok, et al.
Published: (2024)
Doubly Robust Estimation of Causal Effects in Strategic Equilibrium Systems
by: Xiao, Sibo
Published: (2025)
by: Xiao, Sibo
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)
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
by: Chen, Weilin, et al.
Published: (2024)
by: Chen, Weilin, et al.
Published: (2024)
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)
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
by: Khatami, Seyedeh Baharan, et al.
Published: (2024)
by: Khatami, Seyedeh Baharan, et al.
Published: (2024)
Conditional Distribution Compression via the Kernel Conditional Mean Embedding
by: Broadbent, Dominic, et al.
Published: (2025)
by: Broadbent, Dominic, et al.
Published: (2025)
Doubly Stochastic Mean-Shift Clustering
by: Trigano, Tom, et al.
Published: (2026)
by: Trigano, Tom, et al.
Published: (2026)
Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas
by: Guerdan, Luke, et al.
Published: (2025)
by: Guerdan, Luke, et al.
Published: (2025)
Doubly Robust Fusion of Many Treatments for Policy Learning
by: Zhu, Ke, et al.
Published: (2025)
by: Zhu, Ke, et al.
Published: (2025)
Doubly Robust Proximal Causal Learning for Continuous Treatments
by: Wu, Yong, et al.
Published: (2023)
by: Wu, Yong, et al.
Published: (2023)
CAETC: Causal Autoencoding and Treatment Conditioning for Counterfactual Estimation over Time
by: Nguyen, Nghia D., et al.
Published: (2026)
by: Nguyen, Nghia D., et al.
Published: (2026)
Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings
by: Schön, Oliver, et al.
Published: (2024)
by: Schön, Oliver, et al.
Published: (2024)
A Note on Doubly Robust Estimator in Regression Discontinuity Designs
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Density Ratio-Free Doubly Robust Proxy Causal Learning
by: Bozkurt, Bariscan, et al.
Published: (2025)
by: Bozkurt, Bariscan, et al.
Published: (2025)
Context-Aware Doubly-Robust Semi-Supervised Learning
by: Ruah, Clement, et al.
Published: (2025)
by: Ruah, Clement, et al.
Published: (2025)
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
by: McClean, Alec, et al.
Published: (2024)
by: McClean, Alec, et al.
Published: (2024)
Variance-Aware Estimation of Kernel Mean Embedding
by: Wolfer, Geoffrey, et al.
Published: (2022)
by: Wolfer, Geoffrey, et al.
Published: (2022)
A Tutorial on Doubly Robust Learning for Causal Inference
by: Hlynsson, Hlynur Davíð
Published: (2024)
by: Hlynsson, Hlynur Davíð
Published: (2024)
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
by: Witter, R. Teal, et al.
Published: (2024)
by: Witter, R. Teal, et al.
Published: (2024)
DANCE: Doubly Adaptive Neighborhood Conformal Estimation
by: Feng, Brandon R., et al.
Published: (2026)
by: Feng, Brandon R., et al.
Published: (2026)
Automatic Doubly Robust Forests
by: Chen, Zhaomeng, et al.
Published: (2024)
by: Chen, Zhaomeng, et al.
Published: (2024)
Robust Mean Estimation under Quantization
by: Abdalla, Pedro, et al.
Published: (2026)
by: Abdalla, Pedro, et al.
Published: (2026)
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
by: Sert, Gözde, et al.
Published: (2025)
by: Sert, Gözde, et al.
Published: (2025)
Similar Items
-
Minimax Rates of Estimation for Optimal Transport Map between Infinite-Dimensional Spaces
by: Ponnoprat, Donlapark, et al.
Published: (2025) -
coverforest: Conformal Predictions with Random Forest in Python
by: Meehinkong, Panisara, et al.
Published: (2025) -
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack
by: Lumbut, Chayadon, et al.
Published: (2024) -
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026) -
Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
by: Zenati, Houssam, et al.
Published: (2025)