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TitleStatusHype
Counterfactual explanation of machine learning survival models—0
Counterfactual Explanations of Concept Drift—0
On Counterfactual Explanations under Predictive Multiplicity—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
Fairness Under Feature Exemptions: Counterfactual and Observational Measures—0
Learning to Communicate Using Counterfactual Reasoning—0
Getting a CLUE: A Method for Explaining Uncertainty Estimates—0
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
Sophisticated Inference—0
Sparsified Linear Programming for Zero-Sum Equilibrium Finding—0
From Checking to Inference: Actual Causality Computations as Optimization Problems—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
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization—0
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection—0
Counterfactual Detection meets Transfer LearningCode0
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
Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis—0
Policy-Aware Unbiased Learning to Rank for Top-k RankingsCode0
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian ProcessesCode0
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation—0
Learning Robust Models for e-Commerce Product Search—0
LIMEtree: Consistent and Faithful Multi-class ExplanationsCode0
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information—0
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information—0
Learning Disentangled Representations for CounterFactual Regression—0
Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?—0
Counterfactual Off-Policy Training for Neural Response Generation—0
An ASP-Based Approach to Counterfactual Explanations for Classification—0
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models—0
Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion—0
Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing—0
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Explainable Image Classification with Evidence Counterfactual—0
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation—0
Detecting and Understanding Generalization Barriers for Neural Machine Translation—0
Measuring Social Biases of Crowd Workers using Counterfactual Queries—0
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis—0
Identification Methods With Arbitrary Interventional Distributions as Inputs—0
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