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TitleStatusHype
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games—0
Efficient Counterfactual Learning from Bandit Feedback—0
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines—0
Open Set Learning with Counterfactual Images—0
Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace—0
Robust Counterfactual Inferences using Feature Learning and their Applications—0
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms—0
The econometrics of happiness: Are we underestimating the returns to education and income?—0
Explaining Image Classifiers by Counterfactual GenerationCode0
Machine Learning Interpretability: A Science rather than a tool—0
Analysis and Optimization of Deep Counterfactual Value Networks—0
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm DesignCode0
Bayesian Counterfactual Risk Minimization—0
Generating Counterfactual Explanations with Natural Language—0
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank—0
Causal effects based on distributional distances—0
Tilting Approximate Models—0
Local Rule-Based Explanations of Black Box Decision SystemsCode0
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation—0
On self-play computation of equilibrium in poker—0
Sensitivity of Regular Estimators—0
Counterfactual Mean EmbeddingsCode0
Regularization Learning Networks: Deep Learning for Tabular DatasetsCode0
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit FeedbackCode0
A General Framework for Counterfactual Learning-to-Rank—0
Data science is science's second chance to get causal inference right: A classification of data science tasks—0
Synthetic Control Methods and Big Data—0
Path-Specific Counterfactual Fairness—0
Offline A/B testing for Recommender Systems—0
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data—0
Counterfactual equivalence for POMDPs, and underlying deterministic environments—0
Revealed Price Preference: Theory and Empirical AnalysisCode0
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial NetsCode0
Counterfactual Image Networks—0
Neuron as an Agent—0
Variance Regularized Counterfactual Risk Minimization via Variational Divergence MinimizationCode0
Deep Learning with Logged Bandit Feedback—0
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic ControlsCode0
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms—0
RNN-based counterfactual prediction, with an application to homestead policy and public schoolingCode0
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation—0
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness—0
Counterfactual Learning for Machine Translation: Degeneracies and Solutions—0
Robust Synthetic ControlCode0
Good and safe uses of AI Oracles—0
Regret Minimization in Behaviorally-Constrained Zero-Sum Games—0
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and ComplementsCode0
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPRCode2
Regret Minimization for Partially Observable Deep Reinforcement LearningCode0
Counterfactual Conditionals in Quantified Modal Logic—0
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