Scaling structural learning with NO-BEARS to infer causal transcriptome
networks

Scaling structural learning with NO-BEARS to infer causal transcriptome networks

31 October 2019

Riccardo Miotto

Papers citing "Scaling structural learning with NO-BEARS to infer causal transcriptome networks"

10 / 10 papers shown

Title
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix Yunfeng Cai Xu Li Ming Sun Ping Li CML 32 1 0 01 Nov 2023
Differentiable Bayesian Structure Learning with Acyclicity Assurance Quang-Duy Tran Phuoc Nguyen Bao Duong Thin Nguyen 32 2 0 04 Sep 2023
Learning DAGs from Data with Few Root Causes Panagiotis Misiakos Chris Wendler Markus Püschel CML 40 10 0 25 May 2023
Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu Ehsan Abbasnejad Biwei Huang Anton van den Hengel Javen Qinfeng Shi 32 25 0 30 Aug 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez Jan-Christian Hütter J. Pritchard Aviv Regev CML AI4CE 45 40 0 15 Jun 2022
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation Jonas Seng Matej Zečević Devendra Singh Dhami Kristian Kersting CML 22 3 0 14 Jun 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 31 60 0 25 May 2022
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 23 136 0 26 Feb 2021
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications Rong Zhu A. Pfadler Ziniu Wu Yuxing Han Xiaoke Yang Feng Ye Zhenping Qian Jingren Zhou Bin Cui 18 9 0 07 Dec 2020