conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Causal Inference

3,333 papers

Papers per year

2
15
28
277
391
'05
'10
'15
'20
'25

Papers

Context-Aware Drift Detection ICML 2022
Entropic Causal Inference: Graph Identifiability ICML 2022
Counterfactual Transportability: A Formal Approach ICML 2022
Deep Causal Metric Learning ICML 2022
Principled Knowledge Extrapolation with GANs ICML 2022
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022
Inducing Causal Structure for Interpretable Neural Networks ICML 2022
Causal Inference Through the Structural Causal Marginal Problem ICML 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses ICML 2022
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks ICML 2022
The Role of Deconfounding in Meta-learning ICML 2022
On Measuring Causal Contributions via do-interventions ICML 2022
Matching Learned Causal Effects of Neural Networks with Domain Priors ICML 2022
Partial disentanglement for domain adaptation ICML 2022
Tell me why! Explanations support learning relational and causal structure ICML 2022
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning ICML 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments ICML 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences ICML 2022
Causal Transformer for Estimating Counterfactual Outcomes ICML 2022
Invariant Ancestry Search ICML 2022
Validating Causal Inference Methods ICML 2022
Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models ICML 2022
Exploiting Independent Instruments: Identification and Distribution Generalization ICML 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations ICML 2022