Experimental Design for Cost-Aware Learning of Causal Graphs

Experimental Design for Cost-Aware Learning of Causal Graphs

28 October 2018

Erik M. Lindgren

Murat Kocaoglu

Papers citing "Experimental Design for Cost-Aware Learning of Causal Graphs"

6 / 6 papers shown

Title
Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors Tohid Kargar Tasooji Sakineh Khodadadi Guangjun Liu 30 0 0 26 Mar 2025
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 27 2 0 24 Nov 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 66 45 0 16 Sep 2022
Learning Neural Causal Models with Active Interventions Nino Scherrer O. Bilaniuk Yashas Annadani Anirudh Goyal Patrick Schwab Bernhard Schölkopf Michael C. Mozer Yoshua Bengio Stefan Bauer Nan Rosemary Ke CML 33 42 0 06 Sep 2021
Active Structure Learning of Causal DAGs via Directed Clique Tree C. Squires Sara Magliacane Kristjan Greenewald Dmitriy A. Katz Murat Kocaoglu Karthikeyan Shanmugam CML 58 33 0 01 Nov 2020
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments Ali AhmadiTeshnizi Saber Salehkaleybar Negar Kiyavash CML 21 10 0 17 Jun 2020