ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.05651
  4. Cited By
Interventional Experiment Design for Causal Structure Learning

Interventional Experiment Design for Causal Structure Learning

12 October 2019
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
    CML
ArXiv (abs)PDFHTML

Papers citing "Interventional Experiment Design for Causal Structure Learning"

8 / 8 papers shown
Title
Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors
Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors
Tohid Kargar Tasooji
Sakineh Khodadadi
Guangjun Liu
78
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
138
2
0
24 Nov 2022
A Unified Experiment Design Approach for Cyclic and Acyclic Causal
  Models
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
Ehsan Mokhtarian
Saber Salehkaleybar
AmirEmad Ghassami
Negar Kiyavash
89
3
0
20 May 2022
Learning Neural Causal Models with Active Interventions
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
123
44
0
06 Sep 2021
Collaborative Causal Discovery with Atomic Interventions
Collaborative Causal Discovery with Atomic Interventions
Raghavendra Addanki
S. Kasiviswanathan
91
4
0
06 Jun 2021
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure
  Learning
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Scott Sussex
Andreas Krause
Caroline Uhler
CML
92
20
0
28 May 2021
Disentangling Observed Causal Effects from Latent Confounders using
  Method of Moments
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments
Anqi Liu
Hao Liu
Tongxin Li
Saeed Karimi-Bidhendi
Yisong Yue
Anima Anandkumar
CML
66
3
0
17 Jan 2021
Active Invariant Causal Prediction: Experiment Selection through
  Stability
Active Invariant Causal Prediction: Experiment Selection through Stability
Juan L. Gamella
C. Heinze-Deml
OOD
61
46
0
10 Jun 2020
1