From graphs to DAGs: a low-complexity model and a scalable algorithm

10 April 2022

Michèle Sebag

Papers citing "From graphs to DAGs: a low-complexity model and a scalable algorithm"

3 / 3 papers shown

Title
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data Yue Cheng Jiajun Zhang Weiwei Xing Xiaoyu Guo Yue Cheng Witold Pedrycz CML 151 0 0 25 Oct 2024
Learning Large Causal Structures from Inverse Covariance Matrix via Sparse Matrix Decomposition Shuyu Dong Kento Uemura Akito Fujii Shuang Chang Yusuke Koyanagi Koji Maruhashi Michèle Sebag CML 24 1 0 25 Nov 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez Jan-Christian Hütter J. Pritchard Aviv Regev CML AI4CE 87 43 0 15 Jun 2022