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TitleStatusHype
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
A Ladder of Causal DistancesCode1
Towards explainable classifiers using the counterfactual approach -- global explanations for discovering bias in dataCode1
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?Code1
LIMEtree: Consistent and Faithful Multi-class ExplanationsCode0
Learning Disentangled Representations for CounterFactual Regression—0
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information—0
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information—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
Multi-Objective Counterfactual ExplanationsCode1
Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline EvaluationCode1
Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing—0
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
CausalVAE: Structured Causal Disentanglement in Variational AutoencoderCode2
Explainable Image Classification with Evidence Counterfactual—0
SCOUT: Self-aware Discriminant Counterfactual ExplanationsCode1
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
Improving Confidence in the Estimation of Values and Norms—0
Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach—0
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication—0
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples—0
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems—0
Robust and On-the-fly Dataset Denoising for Image Classification—0
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes—0
Counterfactual Policy Evaluation for Decision-Making in Autonomous DrivingCode1
ParKCa: Causal Inference with Partially Known CausesCode0
Fair inference on error-prone outcomes—0
Counterfactual Samples Synthesizing for Robust Visual Question AnsweringCode1
Vector logic allows counterfactual virtualization by The Square Root of NOT—0
ViCE: Visual Counterfactual Explanations for Machine Learning ModelsCode0
What went wrong and when? Instance-wise Feature Importance for Time-series Models—0
Explaining Groups of Points in Low-Dimensional RepresentationsCode0
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial NetworksCode1
Unbiased Scene Graph Generation from Biased TrainingCode2
Counterfactual fairness: removing direct effects through regularization—0
On The Reasons Behind Decisions—0
Debiased Off-Policy Evaluation for Recommendation Systems—0
Stochastic Regret Minimization in Extensive-Form Games—0
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