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counterfactual

Papers

Showing 11761200 of 2765 papers

TitleStatusHype
Designing Counterfactual Generators using Deep Model Inversion0
Design Information Disclosure under Bidder Heterogeneity in Online Advertising Auctions: Implications of Bid-Adherence Behavior0
Clinical outcome prediction under hypothetical interventions -- a representation learning framework for counterfactual reasoning0
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation0
Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals0
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering0
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier0
Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences0
Actionable Recourse via GANs for Mobile Health0
Demographic Biases of Crowd Workers in Key Opinion Leaders Finding0
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions0
Delayed and Indirect Impacts of Link Recommendations0
A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding0
Deep Structural Causal Shape Models0
CLEAR: Generative Counterfactual Explanations on Graphs0
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data0
CLEAR: Causal Explanations from Attention in Neural Recommenders0
A Two-Stage Mechanism for Demand Response Markets0
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation0
Deep Learning with Logged Bandit Feedback0
Clarity: an improved gradient method for producing quality visual counterfactual explanations0
Attribution-based Explanations that Provide Recourse Cannot be Robust0
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory0
Circuit-Based Intrinsic Methods to Detect Overfitting0
Deep Convolutional Neural Networks for Pairwise Causality0
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