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TitleStatusHype
Counterfactual Risk Assessments, Evaluation, and FairnessCode0
Counterfactual Distribution Regression for Structured Inference—0
Forward-Selected Panel Data Approach for Program EvaluationCode0
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking—0
LoRMIkA: Local rule-based model interpretability with k-optimal associations—0
Measurable Counterfactual Local Explanations for Any Classifier—0
Efficient computation of counterfactual explanations of LVQ modelsCode0
Tagging modality in Oceanic languages of Melanesia—0
Long-Term Macroeconomic Effects of Climate Change: A Cross-Country Analysis—0
Bandits with Feedback Graphs and Switching Costs—0
Info Intervention—0
Towards Logical Specification of Statistical Machine Learning—0
Mend The Learning Approach, Not the Data: Insights for Ranking E-Commerce ProductsCode0
Off-policy Learning for Multiple Loggers—0
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual ExplanationsCode0
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making SystemsCode0
Low-Variance and Zero-Variance Baselines for Extensive-Form Games—0
Unbiased Learning to Rank: Counterfactual and Online Approaches—0
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User InteractionsCode0
Counterfactual Reasoning for Fair Clinical Risk Prediction—0
Task Selection Policies for Multitask Learning—0
Saliency Maps Generation for Automatic Text Summarization—0
Generative Counterfactual Introspection for Explainable Deep Learning—0
Explaining Predictions from Tree-based Boosting Ensembles—0
Circuit-Based Intrinsic Methods to Detect Overfitting—0
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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