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Showing 2001–2050 of 2765 papers

TitleStatusHype
Individualised Counterfactual Examples Using Conformal Prediction Intervals—0
Individualized prescriptive inference in ischaemic stroke—0
Policy Learning with Distributional Welfare—0
Treatment Effects in Extreme Regimes—0
Causal Representation Learning for Context-Aware Face Transfer—0
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs—0
Industry Dynamics with Cartels: The Case of the Container Shipping Industry—0
Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation—0
Inference on Auctions with Weak Assumptions on Information—0
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach—0
Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities—0
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents—0
Influence-Driven Explanations for Bayesian Network Classifiers—0
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation—0
Info Intervention—0
Informative Robust Causal Representation for Generalizable Deep Learning—0
Integrability and Identification in Multinomial Choice Models—0
Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour—0
Integrating Prior Knowledge in Post-hoc Explanations—0
Intelligent Request Strategy Design in Recommender System—0
Interactive Analysis of LLMs using Meaningful Counterfactuals—0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation—0
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems—0
Interactive Counterfactual Generation for Univariate Time Series—0
Interactive Explanations by Conflict Resolution via Argumentative Exchanges—0
Interpretable Credit Application Predictions With Counterfactual Explanations—0
Interpretable Deep Causal Learning for Moderation Effects—0
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation—0
Interpretable Event Diagnosis in Water Distribution Networks—0
Interpretable Neural Causal Models with TRAM-DAGs—0
Interpreting Bias in Large Language Models: A Feature-Based Approach—0
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis—0
DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach—0
Interpreting Unconditional Quantile Regression with Conditional Independence—0
Interventional Domain Adaptation—0
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems—0
Intervention-based Recurrent Casual Model for Non-stationary Video Causal Discovery—0
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation—0
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL—0
Inverse classification with logistic and softmax classifiers: efficient optimization—0
Investigating LLMs in Clinical Triage: Promising Capabilities, Persistent Intersectional Biases—0
Investigating the Robustness of Deductive Reasoning with Large Language Models—0
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term—0
Islamic Law, Western European Law and the Roots of Middle East's Long Divergence: a Comparative Empirical Investigation (800-1600)—0
Issues with post-hoc counterfactual explanations: a discussion—0
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks—0
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution—0
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models—0
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes—0
KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference—0
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