conftrace_

conditional independence

113 papers

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Also known as

CI

Co-occurring keywords

graphical model (864) causal discovery (460) causal inference (1630) bayesian network (378) conditional independence test (37) structure learning (341) probabilistic graphical model (226) directed acyclic graph (245) causal graph (140) gaussian graphical model (106)

Papers

Temporal Properties of Conditional Independence in Dynamic Bayesian Networks AAAI 2026
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding AAAI 2025
Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025
An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation AAAI 2025
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning IJCAI 2025
Recursive Causal Discovery JMLR 2025
Learning Local Neighborhoods of Non-Gaussian Graphical Models AAAI 2025
Extremal graphical modeling with latent variables via convex optimization JMLR 2025
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies AAAI 2025
Testing Semantic Importance via Betting NIPS 2024
Causal-Driven Skill Prerequisite Structure Discovery AAAI 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Qualitative Mechanism Independence NIPS 2024
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention NIPS 2024
Transfer learning for tensor Gaussian graphical models JMLR 2024
A General Framework for the Analysis of Kernel-based Tests JMLR 2024
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024
Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024
Functional Directed Acyclic Graphs JMLR 2024
On Sufficient Graphical Models JMLR 2024
Causally Inspired Regularization Enables Domain General Representations AISTATS 2024
Causal discovery with endogenous context variables NIPS 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023