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Active Learning for Optimal Intervention Design in Causal Models
v1v2 (latest)

Active Learning for Optimal Intervention Design in Causal Models

Nature Machine Intelligence (Nat. Mach. Intell.), 2022
10 September 2022
Jiaqi Zhang
Louis V. Cammarata
C. Squires
T. Sapsis
Caroline Uhler
    CML
ArXiv (abs)PDFHTMLGithub (159★)

Papers citing "Active Learning for Optimal Intervention Design in Causal Models"

10 / 10 papers shown
Causal Structure and Representation Learning with Biomedical Applications
Causal Structure and Representation Learning with Biomedical Applications
Caroline Uhler
Jiaqi Zhang
CMLOOD
340
1
0
06 Nov 2025
BioBO: Biology-informed Bayesian Optimization for Perturbation Design
BioBO: Biology-informed Bayesian Optimization for Perturbation Design
Yanke Li
Tianyu Cui
Tommaso Mansi
Mangal Prakash
Rui Liao
169
0
0
24 Sep 2025
GRID: Graph-based Reasoning for Intervention and Discovery in Built Environments
GRID: Graph-based Reasoning for Intervention and Discovery in Built Environments
Taqiya Ehsan
Shuren Xia
Jorge Ortiz
AI4CE
99
0
0
19 Sep 2025
Online Identification of IT Systems through Active Causal Learning
Online Identification of IT Systems through Active Causal Learning
K. Hammar
Rolf Stadler
CML
278
1
0
02 Sep 2025
Probabilistic Factorial Experimental Design for Combinatorial Interventions
Probabilistic Factorial Experimental Design for Combinatorial Interventions
Divya Shyamal
Jiaqi Zhang
Caroline Uhler
137
0
0
03 Jun 2025
Towards Identifiability of Interventional Stochastic Differential Equations
Towards Identifiability of Interventional Stochastic Differential Equations
Aaron Zweig
Zaikang Lin
Elham Azizi
David A. Knowles
469
1
0
21 May 2025
Achievable distributional robustness when the robust risk is only partially identified
Achievable distributional robustness when the robust risk is only partially identifiedNeural Information Processing Systems (NeurIPS), 2025
Julia Kostin
Nicola Gnecco
Fanny Yang
342
4
0
04 Feb 2025
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology
Luka Kovacevic
Thomas Gaudelet
James Opzoomer
Hagen Triendl
John Whittaker
Caroline Uhler
Lindsay Edwards
J. Taylor-King
AI4CE
319
2
0
31 Jan 2025
Active Statistical Inference
Active Statistical Inference
Tijana Zrnic
Emmanuel J. Candès
TDI
375
34
0
05 Mar 2024
Causal Modeling with Stationary Diffusions
Causal Modeling with Stationary DiffusionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Lars Lorch
Andreas Krause
Bernhard Schölkopf
DiffM
556
22
0
26 Oct 2023
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