Co-occurring keywords · papers mentioning both
Papers
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
AAAI 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
NeurIPS 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations
ICML 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
ICML 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis
NeurIPS 2023
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction
AAAI 2023
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations
ICCV 2023
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
ICLR 2023
Stable Estimation of Heterogeneous Treatment Effects
ICML 2023
Stable Learning via Sparse Variable Independence
AAAI 2023
Structured Neural Networks for Density Estimation and Causal Inference
NeurIPS 2023
Subset verification and search algorithms for causal DAGs
AISTATS 2023
Sufficient identification conditions and semiparametric estimation under missing not at random mechanisms
UAI 2023
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract)
IJCAI 2023
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
NeurIPS 2023
Task-specific experimental design for treatment effect estimation
ICML 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
NeurIPS 2023
Text-Transport: Toward Learning Causal Effects of Natural Language
EMNLP 2023
The d-Separation Criterion in Categorical Probability
JMLR 2023
The Lauritzen-Chen Likelihood For Graphical Models
AISTATS 2023
The Utility of “Even if” Semifactual Explanation to Optimise Positive Outcomes
NeurIPS 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
ICLR 2023
To Impute or not to Impute? Missing Data in Treatment Effect Estimation
AISTATS 2023
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge
ICCV 2023
Towards Balanced Representation Learning for Credit Policy Evaluation
AISTATS 2023