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TitleStatusHype
Learning Global Transparent Models Consistent with Local Contrastive Explanations—0
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks—0
Algorithmic Recourse: from Counterfactual Explanations to InterventionsCode1
Transformers as Soft Reasoners over LanguageCode1
Convex Density Constraints for Computing Plausible Counterfactual ExplanationsCode0
Decisions, Counterfactual Explanations and Strategic BehaviorCode1
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced RepresentationsCode1
`Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation—0
Safe Exploration for Optimizing Contextual BanditsCode0
Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers—0
Empirical Analysis of Fictitious Play for Nash Equilibrium Computation in Multiplayer Games—0
Correcting for Selection Bias in Learning-to-rank Systems—0
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency—0
On the Fairness of Randomized Trials for Recommendation with Heterogeneous Demographics and Beyond—0
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach—0
Adequate and fair explanations—0
Distributional synthetic controls—0
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory—0
Probabilistic Reasoning across the Causal Hierarchy—0
The Counterfactual χ-GAN—0
Minimal entropy production due to constraints on rate matrix dependencies in multipartite processes—0
Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples—0
Rational Inattention and Perceptual Distance—0
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data—0
Optimal Dynamic Treatment Regimes and Partial Welfare Ordering—0
Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball—0
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation—0
Counterfactual thinking in cooperation dynamics—0
Learning from Discriminatory Training Data—0
Estimation of Auction Models with Shape Restrictions—0
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud—0
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning—0
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population—0
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization—0
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning ClassifiersCode2
Counterfactual Explanation Algorithms for Behavioral and Textual DataCode0
EMAP: Explanation by Minimal Adversarial Perturbation—0
Beyond classical Hamilton's Rule. State distribution asymmetry and the dynamics of altruismCode0
Deep representation learning for individualized treatment effect estimation using electronic health recordsCode0
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree EnsemblesCode0
FairyTED: A Fair Rating Predictor for TED Talk Data—0
Policy-Gradient Training of Fair and Unbiased Ranking FunctionsCode0
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender SystemsCode0
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling—0
On the computation of counterfactual explanations -- A surveyCode0
Fair Data Adaptation with Quantile Preservation—0
Question-Conditioned Counterfactual Image Generation for VQA—0
Identification in discrete choice models with imperfect information—0
Fairness through Equality of Effort—0
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation—0
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