Causal Inference
3,958 papers
Papers per year
1
2
1
2
7
6
9
9
15
8
15
32
16
29
39
62
106
196
285
366
452
552
759
650
339
'5
'10
'15
'20
'25
Papers
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records
NeurIPS 2022
Debiased Machine Learning without Sample-Splitting for Stable Estimators
NeurIPS 2022
Debiasing Event Understanding for Visual Commonsense Tasks
ACL 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
NeurIPS 2022
Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning
AAAI 2022
Decomposing Natural Logic Inferences for Neural NLI
EMNLP 2022
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
ICML 2022
Deconfounded Visual Grounding
AAAI 2022
Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction
AAAI 2022
Deep Causal Metric Learning
ICML 2022
Deep Counterfactual Estimation with Categorical Background Variables
NeurIPS 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
NeurIPS 2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
NeurIPS 2022
Development of allophonic realization until adolescence: A production study of the affricate-fricative variation of /z/ among Japanese children
Interspeech 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
NeurIPS 2022
Differentiable Causal Discovery Under Latent Interventions
CLeaR 2022
Differentiable DAG Sampling
ICLR 2022
Differentially Private Estimation of Heterogeneous Causal Effects
CLeaR 2022
Diffusion Causal Models for Counterfactual Estimation
CLeaR 2022
DiscoSense: Commonsense Reasoning with Discourse Connectives
EMNLP 2022
Discovering Invariant Rationales for Graph Neural Networks
ICLR 2022
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
CLeaR 2022
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
NeurIPS 2022
Disentangling Controlled Effects for Hierarchical Reinforcement Learning
CLeaR 2022
Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data
AISTATS 2022