conftrace_

causal graph

140 papers

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Also known as

CG

Co-occurring keywords

causal inference (1630) causal discovery (460) graphical model (864) large language model (13587) directed acyclic graph (245) causal effect (107) markov equivalence class (37) latent variable (541) conditional independence (113) structural learning (53)

Papers

Leveraging Causal Graphs for Blocking in Randomized Experiments CLEAR 2023
Scalable Causal Discovery with Score Matching CLEAR 2023
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data CLEAR 2022
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs JMLR 2022
Causal Effect Identification with Context-specific Independence Relations of Control Variables AISTATS 2022
Discovery of extended summary graphs in time series UAI 2022
Tractable Uncertainty for Structure Learning ICML 2022
Causal structure-based root cause analysis of outliers ICML 2022
Fairness without the Sensitive Attribute via Causal Variational Autoencoder IJCAI 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022
Entropic Causal Inference: Graph Identifiability ICML 2022
Verification and search algorithms for causal DAGs NIPS 2022
Reinforcement Learning of Causal Variables Using Mediation Analysis AAAI 2022
A new constructive criterion for Markov equivalence of MAGs UAI 2022
Robust Hate Speech Detection via Mitigating Spurious Correlations IJCNLP 2022
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets AAAI 2022
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models ICML 2022
Counterfactual Fairness with Partially Known Causal Graph NIPS 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs NIPS 2022
Matching a Desired Causal State via Shift Interventions NIPS 2021
Learning Faithful Representations of Causal Graphs ACL 2021
Causal Bandits with Unknown Graph Structure NIPS 2021
Efficient Online Estimation of Causal Effects by Deciding What to Observe NIPS 2021
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions AISTATS 2021
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning ICML 2021