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Causal Inference

3310 directly classified papers

Papers per year

Papers

Enhancing Counterfactual Classification Performance via Self-Training AAAI 2022
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation AAAI 2022
Training a Resilient Q-network against Observational Interference AAAI 2022
Achieving Counterfactual Fairness for Causal Bandit AAAI 2022
Causal Discovery in Hawkes Processes by Minimum Description Length AAAI 2022
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data AAAI 2022
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition AAAI 2022
From Actions to Programs as Abstract Actual Causes AAAI 2022
Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022
Causal Explanations and XAI CLEAR 2022
Double/Debiased Machine Learning for Dynamic Treatment Effects NIPS 2021
Learning Generalized Gumbel-max Causal Mechanisms NIPS 2021
Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction EMNLP 2021
Learning interaction rules from multi-animal trajectories via augmented behavioral models NIPS 2021
Learning to Assimilate in Chaotic Dynamical Systems NIPS 2021
Causal Navigation by Continuous-time Neural Networks NIPS 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NIPS 2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation NIPS 2021
SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC) ACL 2021
All of the Fairness for Edge Prediction with Optimal Transport AISTATS 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation AISTATS 2021
Meta Learning for Causal Direction AAAI 2021
On Locality of Local Explanation Models NIPS 2021
DiBS: Differentiable Bayesian Structure Learning NIPS 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks NIPS 2021