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Showing 1951–2000 of 2765 papers

TitleStatusHype
Reasoning about Counterfactuals to Improve Human Inverse Reinforcement LearningCode0
Counterfactually Evaluating Explanations in Recommender Systems—0
Selection, Ignorability and Challenges With Causal Fairness—0
On Learning and Testing of Counterfactual Fairness through Data Preprocessing—0
Predicting the impact of treatments over time with uncertainty aware neural differential equationsCode0
Counterfactual Explanations for Predictive Business Process Monitoring—0
Distributional Counterfactual Analysis in High-Dimensional Setup—0
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four—0
Causal Effect Identification in Cluster DAGs—0
A Dutch book argument for belief consistency—0
Counterfactual Regret Minimization for Anti-jamming Game of Frequency Agile Radar—0
Generalizable Information Theoretic Causal Representation—0
Synthetic Control As Online Linear Regression—0
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows—0
Single Trajectory Nonparametric Learning of Nonlinear Dynamics—0
Realistic Counterfactual Explanations with Learned Relations—0
Explaining Reject Options of Learning Vector Quantization ClassifiersCode0
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data—0
Counterfactual inference for sequential experiments—0
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings—0
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers—0
Validating Causal Inference Methods—0
Evaluating the impact of quarantine measures on COVID-19 spread—0
Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park—0
Counterfactual Multi-Token Fairness in Text Classification—0
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows—0
The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation—0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods—0
Near-Optimal Learning of Extensive-Form Games with Imperfect Information—0
Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits—0
Learning to reason about and to act on physical cascading events—0
Causal Inference Through the Structural Causal Marginal ProblemCode0
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space—0
Causal Explanations and XAI—0
Explaining Reinforcement Learning Policies through Counterfactual TrajectoriesCode0
Counterfactual Plans under Distributional AmbiguityCode0
A Causal Lens for Controllable Text Generation—0
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study—0
Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making—0
DRTCI: Learning Disentangled Representations for Temporal Causal Inference—0
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesisCode0
Homophily in preferences or meetings? Identifying and estimating an iterative network formation model—0
Principled Diverse Counterfactuals in Multilinear Models—0
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI—0
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis—0
Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language—0
Making a (Counterfactual) Difference One Rationale at a TimeCode0
REST: Debiased Social Recommendation via Reconstructing Exposure StrategiesCode0
Kernel methods for long term dose response curves—0
COIN: Counterfactual Image Generation for VQA Interpretation—0
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