Imagen de Portada

Disentangled Feature Importance

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Du, Jin-Hong, Roeder, Kathryn, Wasserman, Larry
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Statistics Theory Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Simultaneous inference for generalized linear models with unmeasured confounders
por: Du, Jin-Hong, et al.
Publicado: (2023)

Assumption-Lean Post-Integrated Inference with Surrogate Control Outcomes
por: Du, Jin-Hong, et al.
Publicado: (2024)

Rescuing double robustness: safe estimation under complete misspecification
por: Testa, Lorenzo, et al.
Publicado: (2025)

Statistical Properties of Rectified Flow
por: Mena, Gonzalo, et al.
Publicado: (2025)

The Fundamental Limits of Structure-Agnostic Functional Estimation
por: Balakrishnan, Sivaraman, et al.
Publicado: (2023)

Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
por: Dunn, Robin, et al.
Publicado: (2021)

Semi-Supervised U-statistics
por: Kim, Ilmun, et al.
Publicado: (2024)

Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
por: McClean, Alec, et al.
Publicado: (2024)

Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives
por: Balakrishnan, Sivaraman, et al.
Publicado: (2025)

A Guide to Feature Importance Methods for Scientific Inference
por: Ewald, Fiona Katharina, et al.
Publicado: (2024)

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
por: Du, Jin-Hong, et al.
Publicado: (2024)

Corrected generalized cross-validation for finite ensembles of penalized estimators
por: Bellec, Pierre C., et al.
Publicado: (2023)

Causal Geodesy: Counterfactual Estimation Along the Path Between Correlation and Causation
por: Schindl, Kyle, et al.
Publicado: (2025)

Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
por: Morzywolek, Pawel, et al.
Publicado: (2025)

Adaptive Projected Two-Sample Comparisons for Single-Cell Gene Expression Data
por: Zhang, Tianyu, et al.
Publicado: (2024)

Distributional Discontinuity Design
por: Schindl, Kyle, et al.
Publicado: (2026)

Testing Random Effects for Binomial Data
por: Kania, Lucas, et al.
Publicado: (2025)

Targeted Data Fusion for Region-Specific Survival Effects in the AMP HIV Prevention Trials
por: Liu, Yi, et al.
Publicado: (2025)

On the Role of Surrogates in Conformal Inference of Individual Causal Effects
por: Gao, Chenyin, et al.
Publicado: (2024)

AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
por: He, Zelin, et al.
Publicado: (2024)

Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
por: Manna, Alokesh, et al.
Publicado: (2025)

Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
por: Kim, Seok-Jin
Publicado: (2026)

Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach
por: Zheng, Mingyi, et al.
Publicado: (2026)

Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage
por: Jin, Ying, et al.
Publicado: (2024)

Multiple Testing of Linear Forms for Noisy Matrix Completion
por: Ma, Wanteng, et al.
Publicado: (2023)

Testing Imprecise Hypotheses
por: Kania, Lucas, et al.
Publicado: (2025)

MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
por: Hong, Mao, et al.
Publicado: (2024)

Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality
por: Jin, Ying, et al.
Publicado: (2022)

Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
por: Branson, Zach, et al.
Publicado: (2023)

Cross-Balancing for Data-Informed Design and Efficient Analysis of Observational Studies
por: Jin, Ying, et al.
Publicado: (2025)

Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
por: Jin, Jikai, et al.
Publicado: (2025)

Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
por: Jin, Jikai, et al.
Publicado: (2024)

It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
por: Jin, Jikai, et al.
Publicado: (2025)

Stochastic interventions, sensitivity analysis, and optimal transport
por: Levis, Alexander W., et al.
Publicado: (2024)

Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
por: Bateni, Borna, et al.
Publicado: (2025)

Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
por: Aolaritei, Liviu, et al.
Publicado: (2025)

Strongly Consistent Community Detection in Popularity Adjusted Block Models
por: Yuan, Quan, et al.
Publicado: (2025)

The BdryMatérn GP: Reliable incorporation of boundary information on irregular domains for Gaussian process modeling
por: Ding, Liang, et al.
Publicado: (2025)

What is a good matching of probability measures? A counterfactual lens on transport maps
por: De Lara, Lucas, et al.
Publicado: (2025)

Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions
por: Roy, Somjit, et al.
Publicado: (2025)