conftrace_

causal structure learning

63 papers

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Also known as

CASTLE CSL

Co-occurring keywords

causal discovery (460) causal inference (1630) directed acyclic graph (245) graphical model (864) structure learning (341) markov equivalence class (37) conditional independence test (37) interventional datum (26) causal structure (88) conditional independence (113)

Papers

Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond AAAI 2026
Sparse Additive Model Pruning for Order-Based Causal Structure Learning AAAI 2026
LLM-enhanced Score Function Evolution for Causal Structure Learning IJCAI 2025
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning IJCAI 2025
TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimization IJCAI 2025
Flow-based Time-aware Causal Structure Learning for Sequential Recommendation IJCAI 2025
DyCAST: Learning Dynamic Causal Structure from Time Series ICLR 2025
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework AAAI 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025
Individual Causal Structure Learning from Population Data IJCAI 2024
DAG-Informed Structure Learning from Multi-Dimensional Point Processes JMLR 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice CLEAR 2024
Multi-Granularity Causal Structure Learning AAAI 2024
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning AAAI 2024
Causal Discovery Under Local Privacy CLEAR 2024
Sample Complexity of Distinguishing Cause from Effect AISTATS 2023
Some General Identification Results for Linear Latent Hierarchical Causal Structure IJCAI 2023
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning AISTATS 2023
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023
Reinforcement Causal Structure Learning on Order Graph AAAI 2023
Meek Separators and Their Applications in Targeted Causal Discovery NIPS 2023
Causal Structure Learning for Latent Intervened Non-stationary Data ICML 2023
Active causal structure learning with advice ICML 2023