Statistical Inference and Learning for Shapley Additive Explanations (SHAP)
Fuente:
arXiv
Saved in:
| Main Authors: | Whitehouse, Justin, Sawarni, Ayush, Syrgkanis, Vasilis |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Policy Learning with Abstention
by: Sawarni, Ayush, et al.
Published: (2025)
by: Sawarni, Ayush, et al.
Published: (2025)
Inference on Optimal Policy Values and Other Irregular Functionals via Softmax Smoothing
by: Whitehouse, Justin, et al.
Published: (2025)
by: Whitehouse, Justin, et al.
Published: (2025)
Orthogonal Causal Calibration
by: Whitehouse, Justin, et al.
Published: (2024)
by: Whitehouse, Justin, et al.
Published: (2024)
Order-Explicit Linearization of High-Dimensional $U$-Statistics
by: Ritzwoller, David M., et al.
Published: (2024)
by: Ritzwoller, David M., et al.
Published: (2024)
Preference Learning with Response Time: Robust Losses and Guarantees
by: Sawarni, Ayush, et al.
Published: (2025)
by: Sawarni, Ayush, 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)
Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
Estimation of Treatment Effects in Extreme and Unobserved Data
by: Tan, Jiyuan, et al.
Published: (2025)
by: Tan, Jiyuan, et al.
Published: (2025)
It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
Automatic Doubly Robust Forests
by: Chen, Zhaomeng, et al.
Published: (2024)
by: Chen, Zhaomeng, et al.
Published: (2024)
Regularized DeepIV with Model Selection
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Causal Q-Aggregation for CATE Model Selection
by: Lan, Hui, et al.
Published: (2023)
by: Lan, Hui, et al.
Published: (2023)
Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity
by: Levy, Jordan, et al.
Published: (2026)
by: Levy, Jordan, et al.
Published: (2026)
Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
by: Morzywolek, Pawel, et al.
Published: (2025)
by: Morzywolek, Pawel, et al.
Published: (2025)
Statistical Inference under Performativity
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
CausalReasoningBenchmark: A Real-World Benchmark for Disentangled Evaluation of Causal Identification and Estimation
by: Sawarni, Ayush, et al.
Published: (2026)
by: Sawarni, Ayush, et al.
Published: (2026)
Extended Fiducial Inference: Toward an Automated Process of Statistical Inference
by: Liang, Faming, et al.
Published: (2024)
by: Liang, Faming, et al.
Published: (2024)
Post Reinforcement Learning Inference
by: Syrgkanis, Vasilis, et al.
Published: (2023)
by: Syrgkanis, Vasilis, et al.
Published: (2023)
Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps
by: Ma, Wanteng, et al.
Published: (2024)
by: Ma, Wanteng, et al.
Published: (2024)
Do More Predictions Improve Statistical Inference? Filtered Prediction-Powered Inference
by: Xu, Shirong, et al.
Published: (2026)
by: Xu, Shirong, et al.
Published: (2026)
Statistical Inference on Gradient Flows
by: Li, Tongyu, et al.
Published: (2026)
by: Li, Tongyu, et al.
Published: (2026)
Online Statistical Inference in Decision-Making with Matrix Context
by: Han, Qiyu, et al.
Published: (2022)
by: Han, Qiyu, et al.
Published: (2022)
Likelihood-Preserving Embeddings for Statistical Inference
by: Akdemir, Deniz
Published: (2025)
by: Akdemir, Deniz
Published: (2025)
Extrapolation-Aware Nonparametric Statistical Inference
by: Pfister, Niklas, et al.
Published: (2024)
by: Pfister, Niklas, et al.
Published: (2024)
Statistical Inference for Gradient Boosting Regression
by: Fang, Haimo, et al.
Published: (2025)
by: Fang, Haimo, et al.
Published: (2025)
Higher-Order Causal Structure Learning with Additive Models
by: Enouen, James, et al.
Published: (2025)
by: Enouen, James, et al.
Published: (2025)
Scalable Kernel-Based Distances for Statistical Inference and Integration
by: Naslidnyk, Masha
Published: (2026)
by: Naslidnyk, Masha
Published: (2026)
Statistical Inference under Adaptive Sampling with LinUCB
by: Fan, Wei, et al.
Published: (2025)
by: Fan, Wei, et al.
Published: (2025)
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
by: Lin, Licong, et al.
Published: (2025)
by: Lin, Licong, et al.
Published: (2025)
Statistical Learning Theory for Distributional Classification
by: Fiedler, Christian
Published: (2026)
by: Fiedler, Christian
Published: (2026)
Adaptive Estimation and Inference in Conditional Moment Models via the Discrepancy Principle
by: Tan, Jiyuan, et al.
Published: (2026)
by: Tan, Jiyuan, et al.
Published: (2026)
Statistical Inference for Linear Functionals of Online Least-squares SGD when $t \gtrsim d^{1+δ}$
by: Agrawalla, Bhavya, et al.
Published: (2025)
by: Agrawalla, Bhavya, et al.
Published: (2025)
Multitask Learning and Bandits via Robust Statistics
by: Xu, Kan, et al.
Published: (2021)
by: Xu, Kan, et al.
Published: (2021)
Statistical Inference for Manifold Similarity and Alignability across Noisy High-Dimensional Datasets
by: Chen, Hongrui, et al.
Published: (2025)
by: Chen, Hongrui, et al.
Published: (2025)
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference
by: Zhang, Zhe, et al.
Published: (2024)
by: Zhang, Zhe, et al.
Published: (2024)
On Statistical Inference for High-Dimensional Binary Time Series
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Statistical analysis of Inverse Entropy-regularized Reinforcement Learning
by: Belomestny, Denis, et al.
Published: (2025)
by: Belomestny, Denis, et al.
Published: (2025)
Statistical Learning Guarantees for Group-Invariant Barron Functions
by: Yang, Yahong, et al.
Published: (2025)
by: Yang, Yahong, et al.
Published: (2025)
Valid Inference for Machine Learning Model Parameters
by: Dey, Neil, et al.
Published: (2023)
by: Dey, Neil, et al.
Published: (2023)
Similar Items
-
Policy Learning with Abstention
by: Sawarni, Ayush, et al.
Published: (2025) -
Inference on Optimal Policy Values and Other Irregular Functionals via Softmax Smoothing
by: Whitehouse, Justin, et al.
Published: (2025) -
Orthogonal Causal Calibration
by: Whitehouse, Justin, et al.
Published: (2024) -
Order-Explicit Linearization of High-Dimensional $U$-Statistics
by: Ritzwoller, David M., et al.
Published: (2024) -
Preference Learning with Response Time: Robust Losses and Guarantees
by: Sawarni, Ayush, et al.
Published: (2025)