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TitleStatusHype
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal ModelsCode0
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions—0
Tinkering with black boxes: counterfactuals uncover modularity in generative models—0
A Dynamic Semantics for Causal Counterfactuals—0
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL—0
Beauty Learning and Counterfactual Inference—0
Solving zero-sum extensive-form games with arbitrary payoff uncertainty models—0
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions—0
AnonymousNet: Natural Face De-Identification with Measurable Privacy—0
Modularized Textual Grounding for Counterfactual ResilienceCode0
Robust Multi-agent Counterfactual Prediction—0
Synthetic learner: model-free inference on treatments over time—0
Counterfactual Sensitivity and Robustness—0
Generalized Off-Policy Actor-Critic—0
Ensemble Methods for Causal Effects in Panel Data Settings—0
Machine Learning Methods Economists Should Know About—0
State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual PredictionCode0
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent—0
Machine learning in policy evaluation: new tools for causal inferenceCode0
Integrability and Identification in Multinomial Choice Models—0
On Robustness of Principal Component Regression—0
Counterfactual Inference in Duration Models with Random Censoring—0
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering—0
Cost-Effective Incentive Allocation via Structured Counterfactual Inference—0
Learning Counterfactual Representations for Estimating Individual Dose-Response CurvesCode0
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual DistributionsCode0
Causal Reasoning from Meta-reinforcement LearningCode0
Imitation-Regularized Offline Learning—0
Efficient Search for Diverse Coherent ExplanationsCode0
Paving the way towards counterfactual generation in argumentative conversational agents—0
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
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction—0
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
Counterfactually Fair Prediction Using Multiple Causal ModelsCode0
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural NetworksCode0
Estimation of Personalized Effects Associated With Causal Pathways—0
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