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TitleStatusHype
The Sensitivity of Counterfactual Fairness to Unmeasured ConfoundingCode0
Errudite: Scalable, Reproducible, and Testable Error AnalysisCode0
Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning—0
Rethinking Formal Models of Partially Observable Multiagent Decision Making—0
A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls—0
Explaining Deep Learning Models with Constrained Adversarial ExamplesCode0
Generating Counterfactual and Contrastive Explanations using SHAP—0
Distributionally Robust Counterfactual Risk Minimization—0
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias—0
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology—0
Issues with post-hoc counterfactual explanations: a discussion—0
Balanced off-policy evaluation in general action spaces—0
Counterfactual Inference for Consumer Choice Across Many Product CategoriesCode0
Finding Friend and Foe in Multi-Agent GamesCode0
Neural Replicator DynamicsCode0
Diverse Generation for Multi-Agent Sports Games—0
Value Functions for Depth-Limited Solving in Zero-Sum Imperfect-Information Games—0
Counterfactual Analysis under Partial Identification Using Locally Robust Refinement—0
The Label Complexity of Active Learning from Observational DataCode0
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy—0
Learning Policies from Human Data for Skat—0
Explainable Reinforcement Learning Through a Causal LensCode0
Equal Opportunity and Affirmative Action via Counterfactual Predictions—0
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models—0
Contrastive Fairness in Machine Learning—0
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