Leaderboards/Bayesian Modeling and Causal Inference

Bayesian Modeling and Causal Inference

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Fuyuan Xiao
Chongqing University
2
Liuyi Yao
Alibaba Group (China)
3
Hugh Chen
Georgia Institute of Technology
4
Suchinta Arif
Dalhousie University
5
Benedek Rózemberczki
AstraZeneca (United Kingdom)
6
Ana Rita Nogueira
Universidade do Porto
7
Jinxing Zhu
Minzu University of China
8
Yongduo Sui
The University of Texas at Austin
9
Dimitrios Effrosynidis
Democritus University of Thrace
10
Leihui Xiong
State Grid Corporation of China (China)

Rising Stars Papers

1
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning
ACM Transactions on Knowledge Discovery from Data|2024
28 cit.
2
A Generalized -Divergence With Applications in Pattern Classification
IEEE Transactions on Knowledge and Data Engineering|2025
17 cit.
3
Invariant Graph Learning for Causal Effect Estimation
Unknown Journal|2024
13 cit.
4
A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance
ACM Transactions on Knowledge Discovery from Data|2024
7 cit.
5
Estimating causal effects with machine learning: A guide for ecologists
Methods in Ecology and Evolution|2025
6 cit.
6
Inductive Lottery Ticket Learning for Graph Neural Networks
Journal of Computer Science and Technology|2024
5 cit.
7
A complex plausibility belief Jensen–Shannon divergence with its application in multi-source information fusion
Engineering Applications of Artificial Intelligence|2024
4 cit.
8
The Effect of Training Data Size on Disaster Classification from Twitter
Information|2024
2 cit.
9
Low-Gravity Testing of a Thermally Induced Phase Change Propellant Management Device
Unknown Journal|2025
2 cit.
10
A Unified Invariant Learning Framework for Graph Classification
Unknown Journal|2025
2 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Allen Riddell
Indiana University
2
Aapo Nummenmaa
Harvard University
3
Manish Raghavan
Cornell University
4
Lingyang Chu
McMaster University
5
Caiming Xiong
Salesforce (United States)
6
Kiattikun Chobtham
Queen Mary University of London
7
Aldo Mascareño
Millennium Science Initiative
8
Zeshui Xu
Sichuan University
9
Lee Cojocaru
Boston University
10
Dan Cervone
Columbia University

Emerging Leaders Papers

1
Intent Contrastive Learning for Sequential Recommendation
Proceedings of the ACM Web Conference 2022|2022
374 cit.
2
A survey of Bayesian Network structure learning
Artificial Intelligence Review|2023
328 cit.
3
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies|2022
98 cit.
4
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)|2022
83 cit.
5
CTRLsum: Towards Generic Controllable Text Summarization
Unknown Journal|2022
61 cit.
6
DialFact: A Benchmark for Fact-Checking in Dialogue
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)|2022
45 cit.
7
MixQG: Neural Question Generation with Mixed Answer Types
Findings of the Association for Computational Linguistics: NAACL 2022|2022
31 cit.
8
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis
Findings of the Association for Computational Linguistics: NAACL 2022|2022
29 cit.
9
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
Management Science|2023
25 cit.
10
The Inversion Problem: Why Algorithms Should Infer Mental State and Not Just Predict Behavior
Perspectives on Psychological Science|2023
21 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Daniel Kahneman
Princeton University
2
David J. Spiegelhalter
University of Cambridge
3
Su‐In Lee
University of Washington
4
Judea Pearl
University of California, Los Angeles
5
Pedro Domingos
University of Washington
6
Hans‐Andrea Loeliger
ETH Zurich
7
Zhonglin Wen
South China Normal University
8
Edward H. Herskovits
University of Maryland, Baltimore
9
Michael I. Jordan
University of California, Berkeley
10
David Schmeidler
Unknown

Current Senior Leaders Papers

1
Prospect Theory: An Analysis of Decision under Risk
Econometrica|1979
47k cit.
2
Judgment under Uncertainty: Heuristics and Biases
Science|1974
28k cit.
3
Latent dirichlet allocation
Journal of Machine Learning Research|2003
27k cit.
4
Judgment under Uncertainty: Heuristics and Biases
Unknown Journal|1975
23.1k cit.
5
The Framing of Decisions and the Psychology of Choice
Science|1981
17.3k cit.
6
Advances in prospect theory: Cumulative representation of uncertainty
Journal of Risk and Uncertainty|1992
15.6k cit.
7
Availability: A heuristic for judging frequency and probability
Cognitive Psychology|1973
9.9k cit.
8
From local explanations to global understanding with explainable AI for trees
Nature Machine Intelligence|2020
8.9k cit.
9
Attention and Effort
The American Journal of Psychology|1975
7.1k cit.
10
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory|2001
6.5k cit.

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