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Evaluation Methods and Measures for Causal Learning Algorithms

Evaluation Methods and Measures for Causal Learning Algorithms

7 February 2022
Lu Cheng
Ruocheng Guo
Raha Moraffah
Paras Sheth
K. S. Candan
Huan Liu
    CMLELM
ArXiv (abs)PDFHTML

Papers citing "Evaluation Methods and Measures for Causal Learning Algorithms"

14 / 14 papers shown
Title
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news
GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news
Abdul Haque
Umm e Hani
Ahmad Din
Muhammad Babar
Ali Abbas
Insaf Ullah
CML
34
0
0
13 Jun 2025
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications
Feibo Jiang
Cunhua Pan
Li Dong
Kezhi Wang
O. Dobre
Mérouane Debbah
LLMAGAI4TS
175
1
0
28 May 2025
CausalMan: A physics-based simulator for large-scale causality
CausalMan: A physics-based simulator for large-scale causality
Nicholas Tagliapietra
J. Luettin
Lavdim Halilaj
Moritz Willig
Tim Pychynski
Kristian Kersting
CML
121
0
0
18 Feb 2025
Introducing CausalBench: A Flexible Benchmark Framework for Causal
  Analysis and Machine Learning
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
Ahmet Kapkiç
Pratanu Mandal
Shu Wan
Paras Sheth
Abhinav Gorantla
Yoonhyuk Choi
Huan Liu
K. S. Candan
CML
57
0
0
12 Sep 2024
CausalPlayground: Addressing Data-Generation Requirements in
  Cutting-Edge Causality Research
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
Andreas Sauter
Erman Acar
Aske Plaat
SyDaCML
70
2
0
21 May 2024
Causal inference approach to appraise long-term effects of maintenance
  policy on functional performance of asphalt pavements
Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements
Lingyun You
Nanning Guo
Zhengwu Long
Fusong Wang
Chundi Si
Aboelkasim Diab
CML
62
0
0
06 May 2024
Adjustment Identification Distance: A gadjid for Causal Structure
  Learning
Adjustment Identification Distance: A gadjid for Causal Structure Learning
Leonard Henckel
Theo Würtzen
Sebastian Weichwald
CML
105
11
0
13 Feb 2024
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Masayuki Takayama
Tadahisa Okuda
Thong Pham
T. Ikenoue
Shingo Fukuma
Shohei Shimizu
Akiyoshi Sannai
202
21
0
02 Feb 2024
SpaCE: The Spatial Confounding Environment
SpaCE: The Spatial Confounding Environment
Mauricio Tec
A. Trisovic
Michelle Audirac
Sophie Woodward
Jie Kate Hu
N. Khoshnevis
Francesca Dominici
CML
86
3
0
01 Dec 2023
How to Enhance Causal Discrimination of Utterances: A Case on Affective
  Reasoning
How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning
Hang Chen
Jing Luo
Xinyu Yang
Wenjing Zhu
CML
83
4
0
04 May 2023
Optimizing Data-driven Causal Discovery Using Knowledge-guided Search
Optimizing Data-driven Causal Discovery Using Knowledge-guided Search
Uzma Hasan
Md. Osman Gani
CML
71
2
0
11 Apr 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
Uzma Hasan
Emam Hossain
Md. Osman Gani
CMLAI4TS
128
31
0
27 Mar 2023
Causal Discovery for Fairness
Causal Discovery for Fairness
Ruta Binkyt.e-Sadauskien.e
K. Makhlouf
Carlos Pinzón
Sami Zhioua
C. Palamidessi
CML
78
18
0
14 Jun 2022
Causal Mediation Analysis with Hidden Confounders
Causal Mediation Analysis with Hidden Confounders
Lu Cheng
Ruocheng Guo
Huan Liu
CML
91
16
0
21 Feb 2021
1