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TitleStatusHype
Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation—0
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control—0
How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User EngagementCode0
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals—0
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement ModelingCode0
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable RecoursesCode0
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation—0
Sufficient Dimension Reduction for Average Causal Effect Estimation—0
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples—0
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets—0
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning—0
PolSIRD: Modeling Epidemic Spread under Intervention Policies—0
Model extraction from counterfactual explanationsCode0
Causal Inference in Possibly Nonlinear Factor ModelsCode0
Adversarial Learning for Counterfactual FairnessCode0
The Advantage Regret-Matching Actor-Critic—0
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to RankCode0
PermuteAttack: Counterfactual Explanation of Machine Learning Credit ScorecardsCode0
Hi-CI: Deep Causal Inference in High Dimensions—0
Counterfactual-based minority oversampling for imbalanced classification—0
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models—0
Bounds on Distributional Treatment Effect Parameters using Panel Data with an Application on Job Displacement—0
Estimating heterogeneous survival treatment effect in observational data using machine learningCode0
Purely Bayesian counterfactuals versus Newcomb's paradox—0
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates—0
Counterfactual Explanation Based on Gradual Construction for Deep Networks—0
SemEval-2020 Task 5: Counterfactual RecognitionCode0
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler—0
BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation modelsCode0
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent—0
Unconditional Quantile Regression with High Dimensional Data—0
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for RankingCode0
Score-Based Explanations in Data Management and Machine Learning—0
Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study—0
IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals—0
The Historical Impact of Anthropogenic Climate Change on Global Agricultural Productivity—0
Unlocking the Potential of Deep Counterfactual Value Networks—0
Treatment Effects with Targeting Instruments—0
Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution—0
Counterfactual Learning to Rank using Heterogeneous Treatment Effect EstimationCode0
Estimation and Inference for Policy Relevant Treatment Effects—0
Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits—0
Domain aware medical image classifier interpretation by counterfactual impact analysis—0
Fast Real-time Counterfactual Explanations—0
Expected Eligibility Traces—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Medical idioms for clinical Bayesian network development—0
Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals—0
Counterfactual Predictions under Runtime Confounding—0
Learning Post-Hoc Causal Explanations for Recommendation—0
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