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Simulation-based Benchmarking for Causal Structure Learning in Gene
  Perturbation Experiments

Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments

8 July 2024
Luka Kovacevic
Izzy Newsham
Sach Mukherjee
John Whittaker
    CML
ArXiv (abs)PDFHTML

Papers citing "Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments"

6 / 6 papers shown
Title
Structure Learning with Continuous Optimization: A Sober Look and Beyond
Structure Learning with Continuous Optimization: A Sober Look and Beyond
Ignavier Ng
Erdun Gao
Kun Zhang
CML
77
21
0
04 Apr 2023
Deep Learning of Causal Structures in High Dimensions
Deep Learning of Causal Structures in High Dimensions
Kai Lagemann
C. Lagemann
B. Taschler
S. Mukherjee
CMLBDLAI4CE
54
30
0
09 Dec 2022
Efficient Neural Causal Discovery without Acyclicity Constraints
Efficient Neural Causal Discovery without Acyclicity Constraints
Phillip Lippe
Taco S. Cohen
E. Gavves
CML
57
72
0
22 Jul 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
69
20
0
28 May 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To
  Game
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game
Alexander G. Reisach
C. Seiler
S. Weichwald
CML
78
142
0
26 Feb 2021
Consistency Guarantees for Greedy Permutation-Based Causal Inference
  Algorithms
Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms
Liam Solus
Yuhao Wang
Caroline Uhler
CML
74
79
0
12 Feb 2017
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