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TitleStatusHype
Improving Confidence in the Estimation of Values and Norms—0
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication—0
Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach—0
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems—0
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples—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
ParKCa: Causal Inference with Partially Known CausesCode0
Fair inference on error-prone outcomes—0
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
Counterfactual fairness: removing direct effects through regularization—0
On The Reasons Behind Decisions—0
Debiased Off-Policy Evaluation for Recommendation Systems—0
Learning Global Transparent Models Consistent with Local Contrastive Explanations—0
Stochastic Regret Minimization in Extensive-Form Games—0
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks—0
Convex Density Constraints for Computing Plausible Counterfactual ExplanationsCode0
`Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation—0
Safe Exploration for Optimizing Contextual BanditsCode0
Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers—0
Empirical Analysis of Fictitious Play for Nash Equilibrium Computation in Multiplayer Games—0
Correcting for Selection Bias in Learning-to-rank Systems—0
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