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TitleStatusHype
Earthquakes and the wealth of nations: The cases of Chile and New Zealand—0
Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
Causal Effect Identification in Cluster DAGs—0
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots—0
Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks—0
ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling—0
Deep Convolutional Neural Networks for Pairwise Causality—0
Efficient counterfactual estimation in semiparametric discrete choice models: a note on Chiong, Hsieh, and Shum (2017)—0
Circuit-Based Intrinsic Methods to Detect Overfitting—0
Counterfactual Explanations for Support Vector Machine Models—0
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities—0
An introduction to Causal Modelling—0
Counterfactual Explanations for Predictive Business Process Monitoring—0
Attribution-based Explanations that Provide Recourse Cannot be Robust—0
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies—0
Deep Learning with Logged Bandit Feedback—0
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation—0
CLEAR: Causal Explanations from Attention in Neural Recommenders—0
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data—0
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms—0
Deep Structural Causal Shape Models—0
Delayed and Indirect Impacts of Link Recommendations—0
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions—0
An Information-Flow Perspective on Algorithmic Fairness—0
Case Level Counterfactual Reasoning in Process Mining—0
Dynamic prediction of time to event with survival curves—0
Counterfactual Explanations for Multivariate Time-Series without Training Datasets—0
Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals—0
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation—0
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank—0
Design Information Disclosure under Bidder Heterogeneity in Online Advertising Auctions: Implications of Bid-Adherence Behavior—0
Designing Counterfactual Generators using Deep Model Inversion—0
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier—0
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations—0
Detecting and Understanding Generalization Barriers for Neural Machine Translation—0
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias—0
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning—0
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models—0
Device-Cloud Collaborative Recommendation via Meta Controller—0
Dynamic spatial interaction models for a leader's resource allocation and followers' multiple activities—0
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning—0
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures—0
Automated and Distributed Statistical Analysis of Economic Agent-Based Models—0
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering—0
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model—0
Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN—0
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review—0
Difference-in-Differences with a Misclassified Treatment—0
Counterfactual Explanations for Machine Learning: Challenges Revisited—0
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