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TitleStatusHype
Counterfactual Learning to Rank using Heterogeneous Treatment Effect EstimationCode0
Autoregressive flow-based causal discovery and inferenceCode1
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
Counterfactual Data Augmentation using Locally Factored DynamicsCode1
Expected Eligibility Traces—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Medical idioms for clinical Bayesian network development—0
Causal Discovery in Physical Systems from VideosCode1
Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals—0
Learning Post-Hoc Causal Explanations for Recommendation—0
Counterfactual Predictions under Runtime Confounding—0
Counterfactual explanation of machine learning survival models—0
On Counterfactual Explanations under Predictive Multiplicity—0
Counterfactual Explanations of Concept Drift—0
School choice with independent versus consolidated districts—0
Counterfactually Guided Off-policy Transfer in Clinical Settings—0
Causal Inference with Deep Causal Graphs—0
Enabling Counterfactual Survival Analysis with Balanced RepresentationsCode1
Fairness Under Feature Exemptions: Counterfactual and Observational Measures—0
Learning Decomposed Representation for Counterfactual InferenceCode1
Learning to Communicate Using Counterfactual Reasoning—0
Algorithmic recourse under imperfect causal knowledge: a probabilistic approachCode1
Getting a CLUE: A Method for Explaining Uncertainty Estimates—0
Deep Structural Causal Models for Tractable Counterfactual InferenceCode1
Regret Minimization for Causal Inference on Large Treatment Space—0
Masks and COVID-19: a causal framework for imputing value to public-health interventionsCode0
Counterfactual Programming for Optimal Control—0
Counterfactual VQA: A Cause-Effect Look at Language BiasCode1
Sophisticated Inference—0
Randomized Entity-wise Factorization for Multi-Agent Reinforcement LearningCode1
From Checking to Inference: Actual Causality Computations as Optimization Problems—0
Sparsified Linear Programming for Zero-Sum Equilibrium Finding—0
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning—0
What's Sex Got To Do With Fair Machine Learning?—0
Counterfactual Vision and Language Learning—0
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery—0
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection—0
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization—0
Counterfactual Detection meets Transfer LearningCode0
CausaLM: Causal Model Explanation Through Counterfactual Language ModelsCode1
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)—0
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank—0
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation—0
Principal Fairness for Human and Algorithmic Decision-Making—0
Accelerated Convergence for Counterfactual Learning to RankCode1
Policy-Aware Unbiased Learning to Rank for Top-k RankingsCode0
Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis—0
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