conftrace_

structural equation model

77 papers

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Also known as

SEM

Co-occurring keywords

causal discovery (460) causal inference (1630) graphical model (864) directed acyclic graph (245) latent variable (541) causal graph (140) causal model (57) additive noise model (26) linear structural equation model (13) bayesian network (378)

Papers

Large-Scale Differentiable Causal Discovery of Factor Graphs NIPS 2022
Efficient Least Squares for Estimating Total Effects under Linearity and Causal Sufficiency JMLR 2022
Identifiability of Linear AMP Chain Graph Models AAAI 2022
On the Equivalence of Causal Models: A Category-Theoretic Approach CLEAR 2022
A Multivariate Causal Discovery based on Post-Nonlinear Model CLEAR 2022
Equality Constraints in Linear Hawkes Processes CLEAR 2022
Linear Combinatorial Semi-Bandit with Causally Related Rewards IJCAI 2022
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data AAAI 2022
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics AAAI 2022
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models PGM 2022
Deep Counterfactual Estimation with Categorical Background Variables NIPS 2022
Multi-task Learning of Order-Consistent Causal Graphs NIPS 2021
Testing Independence Between Linear Combinations for Causal Discovery AAAI 2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery NIPS 2021
Differentiable Causal Discovery Under Unmeasured Confounding AISTATS 2021
Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression JMLR 2021
Scalable Intervention Target Estimation in Linear Models NIPS 2021
Path dependent structural equation models UAI 2021
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NIPS 2020
Structure Learning for Cyclic Linear Causal Models UAI 2020
Estimation Rates for Sparse Linear Cyclic Causal Models UAI 2020
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks AAAI 2020
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs NIPS 2020
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks JMLR 2019