A Set of Rules for Model Validation
Fuente:
arXiv
Guardado en:
| Autor principal: | Camacho, José |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Consistent Validation for Predictive Methods in Spatial Settings
por: Burt, David R., et al.
Publicado: (2024)
por: Burt, David R., et al.
Publicado: (2024)
TabPFN: One Model to Rule Them All?
por: Zhang, Qiong, et al.
Publicado: (2025)
por: Zhang, Qiong, et al.
Publicado: (2025)
Strong Screening Rules for Group-based SLOPE Models
por: Feser, Fabio, et al.
Publicado: (2024)
por: Feser, Fabio, et al.
Publicado: (2024)
A Randomized Permutation Whole-Model Test Heuristic for Self-Validated Ensemble Models (SVEM)
por: Karl, Andrew T.
Publicado: (2024)
por: Karl, Andrew T.
Publicado: (2024)
Federated Rule Ensemble Method in Medical Data
por: Wan, Ke, et al.
Publicado: (2026)
por: Wan, Ke, et al.
Publicado: (2026)
Valid Selection among Conformal Sets
por: Hegazy, Mahmoud, et al.
Publicado: (2025)
por: Hegazy, Mahmoud, et al.
Publicado: (2025)
A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings
por: Barzegary, Ebrahim, et al.
Publicado: (2022)
por: Barzegary, Ebrahim, et al.
Publicado: (2022)
Building Trees for Probabilistic Prediction via Scoring Rules
por: Shashaani, Sara, et al.
Publicado: (2024)
por: Shashaani, Sara, et al.
Publicado: (2024)
Kernel Model Validation: How To Do It, And Why You Should Care
por: Graziani, Carlo, et al.
Publicado: (2025)
por: Graziani, Carlo, et al.
Publicado: (2025)
A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
por: Wu, Ying, et al.
Publicado: (2023)
por: Wu, Ying, et al.
Publicado: (2023)
Choice of Scoring Rules for Indirect Elicitation of Properties with Parametric Assumptions
por: Hu, Lingfang, et al.
Publicado: (2025)
por: Hu, Lingfang, et al.
Publicado: (2025)
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
por: Zhou, Jiehui, et al.
Publicado: (2024)
por: Zhou, Jiehui, et al.
Publicado: (2024)
Setting the duration of online A/B experiments
por: Li, Harrison H., et al.
Publicado: (2024)
por: Li, Harrison H., et al.
Publicado: (2024)
Covariance-Based Structural Equation Modeling in Small-Sample Settings with $p>n$
por: Hasegawa, Hiroki, et al.
Publicado: (2026)
por: Hasegawa, Hiroki, et al.
Publicado: (2026)
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
por: Bargagli-Stoffi, Falco J., et al.
Publicado: (2020)
por: Bargagli-Stoffi, Falco J., et al.
Publicado: (2020)
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
por: Li, Michael Lingzhi, et al.
Publicado: (2024)
por: Li, Michael Lingzhi, et al.
Publicado: (2024)
Training and Validating a Treatment Recommender with Partial Verification Evidence
por: Unnikrishnan, Vishnu, et al.
Publicado: (2024)
por: Unnikrishnan, Vishnu, et al.
Publicado: (2024)
Valid Inference After Causal Discovery
por: Gradu, Paula, et al.
Publicado: (2022)
por: Gradu, Paula, et al.
Publicado: (2022)
Invariant Causal Set Covering Machines
por: Godon, Thibaud, et al.
Publicado: (2023)
por: Godon, Thibaud, et al.
Publicado: (2023)
Conformal Calibration of Statistical Confidence Sets
por: Cabezas, Luben M. C., et al.
Publicado: (2024)
por: Cabezas, Luben M. C., et al.
Publicado: (2024)
$t$-Testing the Waters: Empirically Validating Assumptions for Reliable A/B-Testing
por: Jeunen, Olivier
Publicado: (2025)
por: Jeunen, Olivier
Publicado: (2025)
Weighted Leave-One-Out Cross Validation
por: Pronzato, Luc, et al.
Publicado: (2025)
por: Pronzato, Luc, et al.
Publicado: (2025)
The Hardness of Validating Observational Studies with Experimental Data
por: Fawkes, Jake, et al.
Publicado: (2025)
por: Fawkes, Jake, et al.
Publicado: (2025)
Fusing Individualized Treatment Rules Using Secondary Outcomes
por: Gao, Daiqi, et al.
Publicado: (2024)
por: Gao, Daiqi, et al.
Publicado: (2024)
Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
por: Charvadeh, Yasin Khadem, et al.
Publicado: (2026)
por: Charvadeh, Yasin Khadem, et al.
Publicado: (2026)
Data-light Uncertainty Set Merging with Admissibility
por: Qin, Shenghao, et al.
Publicado: (2024)
por: Qin, Shenghao, et al.
Publicado: (2024)
Agglomerative Hierarchical Clustering for Selecting Valid Instrumental Variables
por: Apfel, Nicolas, et al.
Publicado: (2021)
por: Apfel, Nicolas, et al.
Publicado: (2021)
Learning to Bet for Horizon-Aware Anytime-Valid Testing
por: Taga, Ege Onur, et al.
Publicado: (2026)
por: Taga, Ege Onur, et al.
Publicado: (2026)
Aggregating Conformal Prediction Sets via α-Allocation
por: Xu, Congbin, et al.
Publicado: (2025)
por: Xu, Congbin, et al.
Publicado: (2025)
Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
por: Wang, Xiaohan, et al.
Publicado: (2025)
por: Wang, Xiaohan, et al.
Publicado: (2025)
Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference
por: Song, Ziang, et al.
Publicado: (2026)
por: Song, Ziang, et al.
Publicado: (2026)
Externally Valid Policy Evaluation Combining Trial and Observational Data
por: Ek, Sofia, et al.
Publicado: (2023)
por: Ek, Sofia, et al.
Publicado: (2023)
Robust Validation: Confident Predictions Even When Distributions Shift
por: Cauchois, Maxime, et al.
Publicado: (2020)
por: Cauchois, Maxime, et al.
Publicado: (2020)
Asymptotic Validity and Finite-Sample Properties of Approximate Randomization Tests
por: Toulis, Panos
Publicado: (2019)
por: Toulis, Panos
Publicado: (2019)
Forecasting Multivariate Time Series under Predictive Heterogeneity: A Validation-Driven Clustering Framework
por: Ma, Ziling, et al.
Publicado: (2026)
por: Ma, Ziling, et al.
Publicado: (2026)
Semiparametric Learning from Open-Set Label Shift Data
por: Liu, Siyan, et al.
Publicado: (2025)
por: Liu, Siyan, et al.
Publicado: (2025)
Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints
por: Sakaguchi, Shosei
Publicado: (2021)
por: Sakaguchi, Shosei
Publicado: (2021)
A Honest Cross-Validation Estimator for Prediction Performance
por: Pan, Tianyu, et al.
Publicado: (2025)
por: Pan, Tianyu, et al.
Publicado: (2025)
Chiseling: Powerful and Valid Subgroup Selection via Interactive Machine Learning
por: Cheng, Nathan, et al.
Publicado: (2025)
por: Cheng, Nathan, et al.
Publicado: (2025)
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
por: Liang, Biyonka, et al.
Publicado: (2023)
por: Liang, Biyonka, et al.
Publicado: (2023)
Ejemplares similares
-
Consistent Validation for Predictive Methods in Spatial Settings
por: Burt, David R., et al.
Publicado: (2024) -
TabPFN: One Model to Rule Them All?
por: Zhang, Qiong, et al.
Publicado: (2025) -
Strong Screening Rules for Group-based SLOPE Models
por: Feser, Fabio, et al.
Publicado: (2024) -
A Randomized Permutation Whole-Model Test Heuristic for Self-Validated Ensemble Models (SVEM)
por: Karl, Andrew T.
Publicado: (2024) -
Federated Rule Ensemble Method in Medical Data
por: Wan, Ke, et al.
Publicado: (2026)