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Papers
Information-Theoretic Causal Discovery in Topological Order
AISTATS 2025
LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery
UAI 2025
Incremental Topological Ordering and Cycle Detection with Predictions
ICML 2024
Ordering-Based Causal Discovery for Linear and Nonlinear Relations
NeurIPS 2024
A Generation-based Deductive Method for Math Word Problems
EMNLP 2023
DAG Learning on the Permutahedron
ICLR 2023
Diffusion Models for Causal Discovery via Topological Ordering
ICLR 2023
Neural Topological Ordering for Computation Graphs
NeurIPS 2022
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings
AAAI 2021