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. 2202.02896
  4. Cited By
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
    CML
    ELM
ArXivPDFHTML

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

16 / 16 papers shown
Title
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
55
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
37
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
SyDa
CML
37
1
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
29
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
32
6
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
79
16
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
35
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
43
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
38
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
CML
AI4TS
31
24
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
24
16
0
14 Jun 2022
Causal Learning for Socially Responsible AI
Causal Learning for Socially Responsible AI
Lu Cheng
Ahmadreza Mosallanezhad
Paras Sheth
Huan Liu
71
13
0
25 Apr 2021
Causal Mediation Analysis with Hidden Confounders
Causal Mediation Analysis with Hidden Confounders
Lu Cheng
Ruocheng Guo
Huan Liu
CML
19
15
0
21 Feb 2021
Causal Inference for Time series Analysis: Problems, Methods and
  Evaluation
Causal Inference for Time series Analysis: Problems, Methods and Evaluation
Raha Moraffah
Paras Sheth
Mansooreh Karami
Anchit Bhattacharya
Qianru Wang
Anique Tahir
A. Raglin
Huan Liu
CML
AI4TS
77
103
0
11 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
242
3,681
0
28 Feb 2017
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
1