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TitleStatusHype
Estimating Position Bias without Intrusive Interventions—0
Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Social Media Engagement—0
Counterfactual Explanation Policies in RL—0
FADES: Fair Disentanglement with Sensitive Relevance—0
Counterfactual Analysis under Partial Identification Using Locally Robust Refinement—0
Estimating Nonlinear Network Data Models with Fixed Effects—0
Fair Effect Attribution in Parallel Online Experiments—0
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System—0
A Neyman-Orthogonalization Approach to the Incidental Parameter Problem—0
Fair Graph Neural Network with Supervised Contrastive Regularization—0
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals—0
Fair inference on error-prone outcomes—0
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights—0
Can LLMs Explain Themselves Counterfactually?—0
Counterfactual Explanations for Arbitrary Regression Models—0
Fairness Aware Counterfactuals for Subgroups—0
Fairness Aware Reinforcement Learning via Proximal Policy Optimization—0
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data—0
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows—0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods—0
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results—0
Fairness Testing through Extreme Value Theory—0
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting—0
Fairness through Equality of Effort—0
Fairness Under Feature Exemptions: Counterfactual and Observational Measures—0
FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations—0
FairPFN: Transformers Can do Counterfactual Fairness—0
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering—0
Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods—0
FairyTED: A Fair Rating Predictor for TED Talk Data—0
Estimating Individual Responses when Tomorrow Matters—0
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy—0
Bikeability and the induced demand for cycling—0
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals—0
Towards Understanding the Influence of Training Samples on Explanations—0
An integrated debris environment assessment model—0
Generating Causally Compliant Counterfactual Explanations using ASP—0
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms—0
Generating counterfactual explanations of tumor spatial proteomes to discover effective strategies for enhancing immune infiltration—0
Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations—0
Counterfactual Analysis in Empirical Games—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures—0
Fast Model Debias with Machine Unlearning—0
Counterfactual Analysis in Dynamic Latent State Models—0
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data—0
F?D: On understanding the role of deep feature spaces on face generation evaluation—0
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints—0
Feature Attributions and Counterfactual Explanations Can Be Manipulated—0
Estimating Endogenous Coalitional Mergers: Merger Costs and Assortativeness of Size and Specialization—0
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