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TitleStatusHype
Robust Explanations for Private Support Vector Machines—0
CF-GNNExplainer: Counterfactual Explanations for Graph Neural NetworksCode1
Matching Function Equilibria with Partial Assignment: Existence, Uniqueness and Estimation—0
Directive Explanations for Actionable Explainability in Machine Learning Applications—0
Causal Collaborative FilteringCode0
Policy Analysis using Synthetic Controls in Continuous-TimeCode0
Counterfactual Generation with Knockoffs—0
Counterfactual Planning in AGI Systems—0
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep LearningCode0
Learning Matching Representations for Individualized Organ Transplantation AllocationCode0
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning AlgorithmsCode1
Dynamic prediction of time to event with survival curves—0
High-Confidence Off-Policy (or Counterfactual) Variance Estimation—0
Conditional Generative Models for Counterfactual Explanations—0
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations—0
Customer Price Sensitivities in Competitive Automobile Insurance Markets—0
Counterfactual Generative NetworksCode1
Testing Models of Strategic Uncertainty: Equilibrium Selection in Repeated Games—0
Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?—0
Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral PathogenesisCode1
Explaining the Black-box Smoothly- A Counterfactual Approach—0
GeCo: Quality Counterfactual Explanations in Real TimeCode0
Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors—0
Regression Discontinuity Design with Many Thresholds—0
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge—0
A Machine Teaching Framework for Scalable Recognition—0
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions—0
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsCode1
Temperature Regret Matching for Imperfect-Information Games—0
Counterfactual Self-Training—0
Beyond Trivial Counterfactual Generations with Diverse Valuable Explanations—0
No Feature Is An Island: Adaptive Collaborations Between Features Improve Adversarial Robustness—0
Time Series Counterfactual Inference with Hidden Confounders—0
Continual Lifelong Causal Effect Inference with Real World Evidence—0
Grounding Physical Object and Event Concepts Through Dynamic Visual Reasoning—0
Counterfactual Thinking for Long-tailed Information Extraction—0
On Single-environment Extrapolations in Graph Classification and Regression Tasks—0
Counterfactual Fairness through Data Preprocessing—0
Neural Network Extrapolations with G-invariances from a Single Environment—0
Model-Free Counterfactual Credit Assignment—0
Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error—0
Causal World Models by Unsupervised Deconfounding of Physical Dynamics—0
Explaining NLP Models via Minimal Contrastive Editing (MiCE)Code1
Partial Identifiability in Discrete Data With Measurement Error—0
Ordered Counterfactual Explanation by Mixed-Integer Linear OptimizationCode0
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial LearningCode1
Difference Rewards Policy Gradients—0
Robustness to Spurious Correlations in Text Classification via Automatically Generated CounterfactualsCode1
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks—0
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations—0
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