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Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal
  Discovery

Trust Your ∇\nabla∇: Gradient-based Intervention Targeting for Causal Discovery

24 November 2022
Mateusz Olko
Michal Zajac
A. Nowak
Nino Scherrer
Yashas Annadani
Stefan Bauer
Lukasz Kucinski
Piotr Milos
    CML
ArXivPDFHTML

Papers citing "Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery"

3 / 3 papers shown
Title
Can Large Language Models Help Experimental Design for Causal Discovery?
Junyi Li
Yongqiang Chen
Chenxi Liu
Qianyi Cai
Tongliang Liu
Bo Han
Kun Zhang
Hui Xiong
CML
50
0
0
03 Mar 2025
Differentiable Multi-Target Causal Bayesian Experimental Design
Differentiable Multi-Target Causal Bayesian Experimental Design
Yashas Annadani
P. Tigas
Desi R. Ivanova
Andrew Jesson
Y. Gal
Adam Foster
Stefan Bauer
BDL
CML
18
13
0
21 Feb 2023
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy
Aditya Grover
Stefano Ermon
CML
32
71
0
06 Dec 2021
1