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Tag: topic/interpretability
56 items with this tag.
Nov 09, 2026
Strobl et al 2007 - Bias in RF Variable Importance - Overview
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/overview
doc/paper
Nov 09, 2026
Model Validation and Interpretability - Overview
source/ingested
topic/model-validation
topic/interpretability
topic/marketing-measurement
type/overview
doc/synthesis
Oct 13, 2026
Dillon et al - Non-Confounding Redundancy and the Control-or-Drop Rule
source/ingested
topic/model-validation
topic/causal-inference
topic/interpretability
type/definition
type/concept
type/example
method/shap
doc/tutorial
Oct 13, 2026
Dillon et al - Prediction Tasks vs Causal Tasks
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
type/concept
type/definition
method/shap
doc/tutorial
Oct 13, 2026
Dillon et al - SHAP Plots vs True Causal Effects
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
type/concept
type/example
method/shap
doc/tutorial
Oct 13, 2026
Dillon et al - SHAP and Causal Insights - Overview
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
topic/double-machine-learning
type/overview
method/shap
method/econml
method/xgboost
doc/tutorial
Oct 13, 2026
Dillon et al - Summary, Limitations and Marketing Implications
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
topic/marketing-measurement
type/concept
type/example
method/shap
doc/tutorial
Oct 13, 2026
Dillon et al - When SHAP Recovers Causal Effects
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
type/theorem
type/concept
method/shap
doc/tutorial
Oct 13, 2026
Janzing 2020 - Baseline Attribution Axioms and Integrated Gradients
source/ingested
topic/model-validation
topic/interpretability
type/definition
type/theorem
doc/paper
Oct 13, 2026
Janzing 2020 - Conclusions, Limitations and Model-vs-World Attribution
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
type/concept
doc/paper
Oct 13, 2026
Janzing 2020 - Conditional vs Marginal Dropping of Features
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
type/definition
type/concept
doc/paper
Oct 13, 2026
Janzing 2020 - Inputs as Causes - Interventional Equals Marginal Expectation
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
type/theorem
type/concept
doc/paper
Oct 13, 2026
Janzing 2020 - Irrelevant-Feature Example and Failure of Sensitivity
source/ingested
topic/model-validation
topic/interpretability
type/theorem
type/example
doc/paper
Oct 13, 2026
Janzing 2020 - KernelSHAP vs SHAPR Experiments
source/ingested
topic/model-validation
topic/interpretability
topic/simulation
type/example
type/concept
method/shap
doc/paper
Oct 13, 2026
Janzing 2020 - Symmetry Axiom Objection and Reply
source/ingested
topic/model-validation
topic/interpretability
type/example
type/theorem
doc/paper
Oct 13, 2026
Janzing et al 2020 - Feature Relevance as a Causal Problem - Overview
source/ingested
topic/model-validation
topic/interpretability
topic/explainable-ai
topic/causal-inference
type/overview
doc/paper
Oct 13, 2026
Kumar et al - Additivity Axiom Limits for Non-Additive Models
source/ingested
topic/model-validation
topic/interpretability
topic/explainable-ai
type/theorem
doc/paper
Oct 13, 2026
Kumar et al - Conditional vs Interventional Shapley Catch-22
source/ingested
topic/model-validation
topic/interpretability
topic/explainable-ai
topic/causal-inference
type/theorem
type/concept
doc/paper
Oct 13, 2026
Kumar et al - Shapley Values as Contrastive and Actionable Explanations
source/ingested
topic/model-validation
topic/interpretability
topic/explainable-ai
type/concept
type/example
doc/paper
Oct 13, 2026
Kumar et al - Shapley Values in Normative Model Evaluation
source/ingested
topic/model-validation
topic/interpretability
topic/explainable-ai
type/concept
type/example
doc/paper
Oct 13, 2026
Kumar et al 2020 - Problems with Shapley-Value Explanations - Overview
source/ingested
topic/model-validation
topic/interpretability
topic/explainable-ai
topic/causal-inference
type/overview
doc/paper
Oct 13, 2026
Shapley Values and SHAP Value Functions
source/ingested
topic/model-validation
topic/interpretability
topic/explainable-ai
type/definition
type/concept
doc/paper
Oct 13, 2026
Index: Explanations, Causality and Proxies
type/index
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
topic/goodhart
Oct 13, 2026
Fisher Rudin Dominici 2019 - Model Class Reliance - Overview
source/ingested
topic/model-validation
topic/interpretability
topic/variable-importance
type/overview
doc/paper
Oct 13, 2026
Model Class Reliance - Bibliographic Details and Reference List
source/ingested
topic/model-validation
topic/interpretability
topic/variable-importance
type/reference
doc/paper
Oct 13, 2026
Model Class Reliance - Discussion, Limitations and Extensions
source/ingested
topic/model-validation
topic/interpretability
type/concept
doc/paper
Oct 13, 2026
Model Class Reliance - Outer and Inner Finite-Sample Bounds
source/ingested
topic/model-validation
topic/interpretability
topic/learning-theory
type/theorem
type/proof
doc/paper
Oct 13, 2026
Model Class Reliance - Recidivism Case Study
source/ingested
topic/model-validation
topic/interpretability
topic/fairness
type/example
doc/paper
Oct 13, 2026
Model Class Reliance - Toy Example and Bootstrap Coverage Simulations
source/ingested
topic/model-validation
topic/simulation
topic/interpretability
type/example
doc/paper
Oct 13, 2026
Model Class Reliance for Linear and RKHS Model Classes
source/ingested
topic/model-validation
topic/interpretability
topic/regression
type/theorem
method/quadratic-programming
doc/paper
Oct 13, 2026
Model Reliance - Permutation Importance as a U-Statistic
source/ingested
topic/model-validation
topic/interpretability
topic/variable-importance
type/definition
type/theorem
doc/paper
Oct 13, 2026
Model Reliance, Causal Effects and Conditional Model Reliance
source/ingested
topic/model-validation
topic/interpretability
topic/causal-inference
type/theorem
type/definition
doc/paper
Oct 13, 2026
Rashomon Sets and Model Class Reliance - Definitions
source/ingested
topic/model-validation
topic/interpretability
topic/variable-importance
type/definition
type/concept
doc/paper
Oct 13, 2026
Hooker Mentch Zhou 2021 - Conditional and Relearning Importance Measures
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
type/theorem
type/definition
doc/paper
Oct 13, 2026
Hooker Mentch Zhou 2021 - Extrapolation Mechanism in Forests and Neural Nets
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/concept
type/example
doc/paper
Oct 13, 2026
Hooker Mentch Zhou 2021 - Linear Simulation Design and Theorem 1
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
type/theorem
type/example
doc/paper
Oct 13, 2026
Hooker Mentch Zhou 2021 - Partial Dependence Alternatives and Conclusions
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
type/concept
doc/paper
Oct 13, 2026
Hooker Mentch Zhou 2021 - Permute-and-Predict Extrapolation - Overview
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
type/overview
doc/paper
Oct 13, 2026
Hooker Mentch Zhou 2021 - References and Acknowledgments
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
type/reference
doc/paper
Oct 13, 2026
Hooker Mentch Zhou 2021 - Relearning Hypothesis Tests and Bike-Share Application
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
type/example
type/concept
doc/paper
Oct 13, 2026
Permute-and-Predict Extrapolation in Variable Importance
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
type/concept
type/definition
doc/paper
Oct 13, 2026
Conditional Permutation Importance (Strobl 2008 Algorithm)
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/concept
type/definition
doc/paper
Oct 13, 2026
Strobl 2008 - Correlated Predictor Selection in Tree Ensembles
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/concept
type/example
doc/paper
Oct 13, 2026
Strobl 2008 - Digitized Figure Data for Selection Rates and Importance
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/example
doc/paper
Oct 13, 2026
Strobl 2008 - Discussion, mtry Guidance and Limitations
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/concept
doc/paper
Oct 13, 2026
Strobl 2008 - Marginal vs Conditional Importance and Spurious Correlation
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/concept
doc/paper
Oct 13, 2026
Strobl 2008 - Peptide-Binding Application
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/example
doc/paper
Oct 13, 2026
Strobl 2008 - Permutation Importance Null Hypotheses
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/definition
type/theorem
doc/paper
Oct 13, 2026
Strobl 2008 - Simulation Results for Conditional Importance
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/example
doc/paper
Oct 13, 2026
Strobl et al 2008 - Conditional Variable Importance - Overview
source/ingested
topic/model-validation
topic/interpretability
topic/feature-importance
topic/random-forests
type/overview
doc/paper
Oct 13, 2026
Index: Feature Importance and Stability
type/index
source/ingested
topic/model-validation
topic/feature-importance
topic/interpretability
Oct 13, 2026
NIST AI RMF - Accountability, Explainability, Privacy and Fairness
source/ingested
topic/model-validation
topic/model-risk-governance
topic/ai-governance
topic/interpretability
type/concept
type/definition
doc/reference
Oct 13, 2026
Breiman 2001 - Discussion by Cox, Efron, Hoadley and Parzen and Rejoinder
source/ingested
topic/model-validation
topic/statistical-philosophy
topic/interpretability
type/concept
type/example
doc/paper
Oct 13, 2026
Breiman 2001 - Information from a Black Box - Hepatitis, Liver and Microarray Examples
source/ingested
topic/model-validation
topic/interpretability
topic/variable-importance
type/example
type/concept
doc/paper
Oct 13, 2026
Breiman 2001 - Occam Dilemma and Random Forests vs Single Trees
source/ingested
topic/model-validation
topic/machine-learning
topic/interpretability
type/concept
type/example
doc/paper
Oct 13, 2026
Index: Model Validation and Interpretability
type/index
source/ingested
topic/model-validation
topic/interpretability