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Matching a Desired Causal State via Shift Interventions

Matching a Desired Causal State via Shift Interventions

5 July 2021
Jiaqi Zhang
C. Squires
Caroline Uhler
ArXivPDFHTML

Papers citing "Matching a Desired Causal State via Shift Interventions"

13 / 13 papers shown
Title
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal
  View
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
Haoyue Dai
Ignavier Ng
Gongxu Luo
Peter Spirtes
P. Stojanov
Anton van den Hengel
CML
32
6
0
21 Mar 2024
Meek Separators and Their Applications in Targeted Causal Discovery
Meek Separators and Their Applications in Targeted Causal Discovery
Kirankumar Shiragur
Jiaqi Zhang
Caroline Uhler
CML
29
2
0
30 Oct 2023
Robust Causal Bandits for Linear Models
Robust Causal Bandits for Linear Models
Zirui Yan
Arpan Mukherjee
Burak Varici
A. Tajer
CML
22
4
0
30 Oct 2023
Causal Modeling with Stationary Diffusions
Causal Modeling with Stationary Diffusions
Lars Lorch
Andreas Krause
Bernhard Schölkopf
DiffM
20
8
0
26 Oct 2023
Adversarial Causal Bayesian Optimization
Adversarial Causal Bayesian Optimization
Scott Sussex
Pier Giuseppe Sessa
A. Makarova
Andreas Krause
14
3
0
31 Jul 2023
Identifiability Guarantees for Causal Disentanglement from Soft
  Interventions
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
Jiaqi Zhang
C. Squires
Kristjan Greenewald
Akash Srivastava
Karthikeyan Shanmugam
Caroline Uhler
CML
51
53
0
12 Jul 2023
Learning Linear Causal Representations from Interventions under General
  Nonlinear Mixing
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Simon Buchholz
Goutham Rajendran
Elan Rosenfeld
Bryon Aragam
Bernhard Schölkopf
Pradeep Ravikumar
CML
34
58
0
04 Jun 2023
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction
Tom Yan
Shantanu Gupta
Zachary Chase Lipton
CML
29
1
0
14 Feb 2023
Active Learning for Optimal Intervention Design in Causal Models
Active Learning for Optimal Intervention Design in Causal Models
Jiaqi Zhang
Louis V. Cammarata
C. Squires
T. Sapsis
Caroline Uhler
CML
43
24
0
10 Sep 2022
Neural Design for Genetic Perturbation Experiments
Neural Design for Genetic Perturbation Experiments
Aldo Pacchiano
Drausin Wulsin
Robert A. Barton
L. Voloch
32
4
0
26 Jul 2022
Causal Structure Learning: a Combinatorial Perspective
Causal Structure Learning: a Combinatorial Perspective
C. Squires
Caroline Uhler
CML
33
46
0
02 Jun 2022
Interventions, Where and How? Experimental Design for Causal Models at
  Scale
Interventions, Where and How? Experimental Design for Causal Models at Scale
P. Tigas
Yashas Annadani
Andrew Jesson
Bernhard Schölkopf
Y. Gal
Stefan Bauer
CML
34
48
0
03 Mar 2022
Causal Inference and Causal Explanation with Background Knowledge
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
CML
224
628
0
20 Feb 2013
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