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TitleStatusHype
Declarative Approaches to Counterfactual Explanations for Classification—0
Shortcomings of Counterfactual Fairness and a Proposed Modification—0
Improving Offline Contextual Bandits with Distributional Robustness—0
COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model—0
Learning Models for Actionable RecourseCode0
An experiment on the mechanisms of racial bias in ML-based credit scoring in Brazil—0
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning—0
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation BaselinesCode0
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners—0
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction—0
Interventional Domain Adaptation—0
Causal Expectation-MaximisationCode0
De-Biased Court's View Generation with Causality—0
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation—0
Label-Efficient Training for Next Response Selection—0
Less is More: Attention Supervision with Counterfactuals for Text Classification—0
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test—0
Exploring Logically Dependent Multi-task Learning with Causal Inference—0
Counterfactual Off-Policy Training for Neural Dialogue Generation—0
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender SystemCode0
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data—0
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals—0
Counterfactual Representation Learning with Balancing Weights—0
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification—0
Using Deep Image Priors to Generate Counterfactual Explanations—0
The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research—0
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review—0
Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S—0
A Decomposition Approach to Counterfactual Analysis in Game-Theoretic Models—0
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction—0
Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN—0
Double Robust Representation Learning for Counterfactual PredictionCode0
Geometry matters: Exploring language examples at the decision boundary—0
Scaling Guarantees for Nearest Counterfactual Explanations—0
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves—0
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataCode0
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations—0
Interpreting Unconditional Quantile Regression with Conditional Independence—0
Efficient computation of contrastive explanationsCode0
A framework for predicting, interpreting, and improving Learning Outcomes—0
Interpretable Sequence Classification via Discrete OptimizationCode0
Explaining The Efficacy of Counterfactually Augmented Data—0
Disentangling causal effects for hierarchical reinforcement learning—0
Local Regression Distribution EstimatorsCode0
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification—0
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games—0
A Computational Approach to Identification of Treatment Effects for Policy Evaluation—0
GraphITE: Estimating Individual Effects of Graph-structured Treatments—0
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning—0
Targeted VAE: Variational and Targeted Learning for Causal InferenceCode0
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