Federated Causal Discovery from Heterogeneous Data

20 February 2024

Papers citing "Federated Causal Discovery from Heterogeneous Data"

9 / 9 papers shown

Title
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Erdun Gao Kun Zhang CML 51 21 0 04 Apr 2023
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 21 73 0 22 Jul 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 40 138 0 26 Feb 2021
On the Convergence of Continuous Constrained Optimization for Structure Learning Ignavier Ng Sébastien Lachapelle Nan Rosemary Ke Simon Lacoste-Julien Kun Zhang 59 38 0 23 Nov 2020
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 52 481 0 22 Apr 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes Erdun Gao Kun Zhang Jiji Zhang Joseph Ramsey Ruben Sanchez-Romero Clark Glymour Bernhard Schölkopf 42 220 0 05 Mar 2019
Discovery and Visualization of Nonstationary Causal Models Kun Zhang Erdun Gao Jiji Zhang Bernhard Schölkopf Clark Glymour CML 371 13 0 27 Sep 2015
On the Error of Random Fourier Features Danica J. Sutherland J. Schneider 54 189 0 09 Jun 2015
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 64 618 0 14 Feb 2012