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TitleStatusHype
Double Neural Counterfactual Regret Minimization—0
Estimating Position Bias without Intrusive Interventions—0
Counterfactuals uncover the modular structure of deep generative models—0
Counterfactual Critic Multi-Agent Training for Scene Graph Generation—0
Multimodal Explanations by Predicting Counterfactuality in Videos—0
Equality of Opportunity in Classification: A Causal Approach—0
Counterfactual Learning from Human Proofreading Feedback for Semantic ParsingCode0
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search—0
Interpretable Credit Application Predictions With Counterfactual Explanations—0
Explaining Deep Learning Models using Causal Inference—0
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning—0
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform—0
Deep Counterfactual Regret MinimizationCode1
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction—0
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement LearningCode1
Prices, Profits, Proxies, and Production—0
Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information—0
Solving Large Sequential Games with the Excessive Gap Technique—0
Contextual Multi-Armed Bandits for Causal Marketing—0
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural NetworksCode0
Counterfactually Fair Prediction Using Multiple Causal ModelsCode0
Counterfactual Fairness in Text Classification through Robustness—0
Estimation of Personalized Effects Associated With Causal Pathways—0
Solving Large Extensive-Form Games with Strategy Constraints—0
Solving Imperfect-Information Games via Discounted Regret MinimizationCode1
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