SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee

5 July 2017

Papers citing "SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee"

4 / 4 papers shown

Title
Improving Efficiency and Accuracy of Causal Discovery Using a Hierarchical Wrapper Shami Nisimov Yaniv Gurwicz R. Y. Rohekar Gal Novik CML TPM 18 6 0 11 Jul 2021
Causal query in observational data with hidden variables Debo Cheng Jiuyong Li Lin Liu Jixue Liu Kui Yu T. Le CML 82 11 0 28 Jan 2020
Causal Discovery for Manufacturing Domains Katerina Marazopoulou Rumi Ghosh Prasanth Lade David D. Jensen CML 118 20 0 13 May 2016
DRS: Dynamic Resource Scheduling for Real-Time Analytics over Fast Streams T. Fu Jianbing Ding Richard T. B. Ma Marianne Winslett Yifan Yang Zhenjie Zhang 60 104 0 15 Jan 2015