Model Selection over Partially Ordered Sets
Fuente:
arXiv
Guardado en:
| Autores principales: | Taeb, Armeen, Bühlmann, Peter, Chandrasekaran, Venkat |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Model-oriented Graph Distances via Partially Ordered Sets
por: Taeb, Armeen, et al.
Publicado: (2025)
por: Taeb, Armeen, et al.
Publicado: (2025)
Extremal graphical modeling with latent variables via convex optimization
por: Engelke, Sebastian, et al.
Publicado: (2024)
por: Engelke, Sebastian, et al.
Publicado: (2024)
A spectral method for multi-view subspace learning using the product of projections
por: Sergazinov, Renat, et al.
Publicado: (2024)
por: Sergazinov, Renat, et al.
Publicado: (2024)
Causality-oriented robustness: exploiting general noise interventions
por: Shen, Xinwei, et al.
Publicado: (2023)
por: Shen, Xinwei, et al.
Publicado: (2023)
Consensus Tree Estimation with False Discovery Rate Control via Partially Ordered Sets
por: Cabrera, Maria Alejandra Valdez, et al.
Publicado: (2025)
por: Cabrera, Maria Alejandra Valdez, et al.
Publicado: (2025)
Extrapolation-Aware Nonparametric Statistical Inference
por: Pfister, Niklas, et al.
Publicado: (2024)
por: Pfister, Niklas, et al.
Publicado: (2024)
Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning
por: Guo, Zijian, et al.
Publicado: (2022)
por: Guo, Zijian, et al.
Publicado: (2022)
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
por: Gamella, Juan L., et al.
Publicado: (2022)
por: Gamella, Juan L., et al.
Publicado: (2022)
Controlling the False Discovery Rate in Subspace Selection
por: Díaz, Mateo, et al.
Publicado: (2024)
por: Díaz, Mateo, et al.
Publicado: (2024)
Treatment Effect Estimation with Observational Network Data using Machine Learning
por: Emmenegger, Corinne, et al.
Publicado: (2022)
por: Emmenegger, Corinne, et al.
Publicado: (2022)
Causal Invariance Learning via Efficient Nonconvex Optimization
por: Wang, Zhenyu, et al.
Publicado: (2024)
por: Wang, Zhenyu, et al.
Publicado: (2024)
Optimistic search: Change point estimation for large-scale data via adaptive logarithmic queries
por: Kovács, Solt, et al.
Publicado: (2020)
por: Kovács, Solt, et al.
Publicado: (2020)
Conformalized Large-Scale Selective Inference with Informative and Trustworthy Prediction Sets
por: Li, Wangcheng, et al.
Publicado: (2026)
por: Li, Wangcheng, et al.
Publicado: (2026)
Quantifying uncertainty and stability among highly correlated predictors: a subspace perspective
por: Zhang, Xiaozhu, et al.
Publicado: (2025)
por: Zhang, Xiaozhu, et al.
Publicado: (2025)
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
por: Gu, Yihong, et al.
Publicado: (2024)
por: Gu, Yihong, et al.
Publicado: (2024)
Subspace Ordering for Maximum Response Preservation in Sufficient Dimension Reduction
por: Boonstra, Derik T., et al.
Publicado: (2025)
por: Boonstra, Derik T., et al.
Publicado: (2025)
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
por: Young, Elliot H., et al.
Publicado: (2023)
por: Young, Elliot H., et al.
Publicado: (2023)
Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models
por: Cui, Shijie, et al.
Publicado: (2024)
por: Cui, Shijie, et al.
Publicado: (2024)
Strong Oracle Guarantees for Partial Penalized Tests of High Dimensional Generalized Linear Models
por: Jacobson, Tate
Publicado: (2024)
por: Jacobson, Tate
Publicado: (2024)
Partial correlation networks of Gaussian processes
por: Peruzzi, Michele
Publicado: (2026)
por: Peruzzi, Michele
Publicado: (2026)
Nonparametric Estimation via Partial Derivatives
por: Dai, Xiaowu
Publicado: (2022)
por: Dai, Xiaowu
Publicado: (2022)
Convex Mixed-Integer Programming for Causal Additive Models with Optimization and Statistical Guarantees
por: Zhang, Xiaozhu, et al.
Publicado: (2025)
por: Zhang, Xiaozhu, et al.
Publicado: (2025)
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
por: Zhang, Yilin, et al.
Publicado: (2024)
por: Zhang, Yilin, et al.
Publicado: (2024)
Structurally Aware Robust Model Selection for Mixtures
por: Li, Jiawei, et al.
Publicado: (2024)
por: Li, Jiawei, et al.
Publicado: (2024)
Testing Against Tree Ordered Alternatives in One-way ANOVA
por: Halder, Subha, et al.
Publicado: (2025)
por: Halder, Subha, et al.
Publicado: (2025)
Robust Model Selection for Discovery of Latent Mechanistic Processes
por: Li, Jiawei, et al.
Publicado: (2026)
por: Li, Jiawei, et al.
Publicado: (2026)
Partial Conditioning for Inference of Many-Normal-Means with Hölder Constraints
por: Yang, Jiasen, et al.
Publicado: (2023)
por: Yang, Jiasen, et al.
Publicado: (2023)
Testing Partially-Identifiable Causal Queries Using Ternary Tests
por: Bhadane, Sourbh, et al.
Publicado: (2026)
por: Bhadane, Sourbh, et al.
Publicado: (2026)
Scores for Multivariate Distributions and Level Sets
por: Meng, Xiaochun, et al.
Publicado: (2020)
por: Meng, Xiaochun, et al.
Publicado: (2020)
Estimating the Partially Linear Zero-Inflated Poisson Regression Model: a Robust Approach Using a EM-like Algorithm
por: Llop, María José, et al.
Publicado: (2026)
por: Llop, María José, et al.
Publicado: (2026)
Degrees of Freedom in Penalized Regression: Model Selection with Adaptive Penalties
por: Bernardi, Mauro, et al.
Publicado: (2025)
por: Bernardi, Mauro, et al.
Publicado: (2025)
Model Selection for Unit-root Time Series with Many Predictors
por: Huang, Shuo-Chieh, et al.
Publicado: (2025)
por: Huang, Shuo-Chieh, et al.
Publicado: (2025)
Model Uncertainty and Selection of Risk Models for Left-Truncated and Right-Censored Loss Data
por: Zhao, Qian, et al.
Publicado: (2024)
por: Zhao, Qian, et al.
Publicado: (2024)
Partial identification of principal causal effects under violations of principal ignorability
por: Wu, Minxuan, et al.
Publicado: (2024)
por: Wu, Minxuan, et al.
Publicado: (2024)
Compositional Covariate Importance Testing via Partial Conjunction of Bivariate Hypotheses
por: Bhaduri, Ritwik, et al.
Publicado: (2024)
por: Bhaduri, Ritwik, et al.
Publicado: (2024)
Algebraic and Statistical Properties of the Partially Regularized Ordinary Least Squares Interpolator
por: Yang, Letian, et al.
Publicado: (2024)
por: Yang, Letian, et al.
Publicado: (2024)
Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model
por: Guo, Xingche, et al.
Publicado: (2023)
por: Guo, Xingche, et al.
Publicado: (2023)
Classification of multivariate functional data on different domains with Partial Least Squares approaches
por: Moindjie, Issam-Ali, et al.
Publicado: (2022)
por: Moindjie, Issam-Ali, et al.
Publicado: (2022)
Uniform Asymptotics and Confidence Regions Based on the Adaptive Lasso with Partially Consistent Tuning
por: Amann, Nicolai, et al.
Publicado: (2018)
por: Amann, Nicolai, et al.
Publicado: (2018)
Flexible Conformal Highest Predictive Conditional Density Sets
por: Sampson, Max, et al.
Publicado: (2024)
por: Sampson, Max, et al.
Publicado: (2024)
Ejemplares similares
-
Model-oriented Graph Distances via Partially Ordered Sets
por: Taeb, Armeen, et al.
Publicado: (2025) -
Extremal graphical modeling with latent variables via convex optimization
por: Engelke, Sebastian, et al.
Publicado: (2024) -
A spectral method for multi-view subspace learning using the product of projections
por: Sergazinov, Renat, et al.
Publicado: (2024) -
Causality-oriented robustness: exploiting general noise interventions
por: Shen, Xinwei, et al.
Publicado: (2023) -
Consensus Tree Estimation with False Discovery Rate Control via Partially Ordered Sets
por: Cabrera, Maria Alejandra Valdez, et al.
Publicado: (2025)