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Causal Inference

3,333 papers

Papers per year

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15
28
277
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Papers

Regression Discontinuity Design under Self-selection AISTATS 2021
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint AISTATS 2021
Robust Imitation Learning from Noisy Demonstrations AISTATS 2021
A Contraction Approach to Model-based Reinforcement Learning AISTATS 2021
An Analysis of the Adaptation Speed of Causal Models AISTATS 2021
Regret Minimization for Causal Inference on Large Treatment Space AISTATS 2021
Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions AISTATS 2021
Exploiting Equality Constraints in Causal Inference AISTATS 2021
Why did the distribution change? AISTATS 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021
All of the Fairness for Edge Prediction with Optimal Transport AISTATS 2021
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms AISTATS 2021
Counterfactual Representation Learning with Balancing Weights AISTATS 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021
Budgeted and Non-Budgeted Causal Bandits AISTATS 2021
Learning Matching Representations for Individualized Organ Transplantation Allocation AISTATS 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation AISTATS 2021
Differentiable Causal Discovery Under Unmeasured Confounding AISTATS 2021
Designing Transportable Experiments Under S-admissability AISTATS 2021
Regret-Optimal Filtering AISTATS 2021
Causal Inference with Selectively Deconfounded Data AISTATS 2021
Causal Modeling with Stochastic Confounders AISTATS 2021
Causal Autoregressive Flows AISTATS 2021
Causal Inference under Networked Interference and Intervention Policy Enhancement AISTATS 2021
Model updating after interventions paradoxically introduces bias AISTATS 2021