Leaderboards/Advanced Bandit Algorithms Research

Advanced Bandit Algorithms Research

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Jianxin Chang
Beijing Haidian Hospital
2
Ruihong Qiu
The University of Queensland
3
Yinwei Wei
Shandong University
4
Scott Fujimoto
McGill University
5
Ziwei Fan
University of Illinois Chicago
6
Chongming Gao
University of Science and Technology of China
7
Xiaocong Chen
UNSW Sydney
8
Chenyang Wang
Peng Cheng Laboratory
9
Gah‐Yi Ban
University of Maryland, College Park
10
Tianzi Zang
Nanjing University of Aeronautics and Astronautics

Rising Stars Papers

1
Off-Policy Deep Reinforcement Learning without Exploration
TIB Data Manager|2024
300 cit.
2
The combined effects of microplastics and bisphenol-A on the innate immune system response and intestinal microflora of the swimming crab Portunus trituberculatus
Aquatic Toxicology|2024
24 cit.
3
Successive impact of droplets on the superhydrophobic surface
International Journal of Multiphase Flow|2024
18 cit.
4
Prediction of soil thermal conductivity using individual and ensemble machine learning models
Journal of Thermal Analysis and Calorimetry|2024
14 cit.
5
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems
ACM Transactions on Information Systems|2024
14 cit.
6
3D printing-aided numerical study of particle shape effect on behaviours of dry granular flows interacting with rigid barriers
Computers and Geotechnics|2024
13 cit.
7
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
Proceedings of the AAAI Conference on Artificial Intelligence|2025
12 cit.
8
SPRec: Self-Play to Debias LLM-based Recommendation
Unknown Journal|2025
12 cit.
9
Evaluating public opinions: informing public health policy adaptations in China amid the COVID-19 pandemic
Scientific Reports|2024
11 cit.
10
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation
Unknown Journal|2024
7 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
How Jing
LinkedIn (United States)
2
Malte Ludewig
TU Dortmund University
3
Sohom Chakrabarty
Indian Institute of Technology Roorkee
4
Kun Gai
Alibaba Group (China)
5
Wenwu Ou
Alibaba Group (China)
6
Zijian Wang
The University of Queensland
7
Caiming Xiong
Salesforce (United States)
8
Sehee Chung
NCSOFT (South Korea)
9
Will Dabney
Google DeepMind (United Kingdom)
10
Akansel Cosgun
Honda (Japan)

Emerging Leaders Papers

1
Reinforcement learning algorithms: A brief survey
Expert Systems with Applications|2023
555 cit.
2
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining|2022
407 cit.
3
Intent Contrastive Learning for Sequential Recommendation
Proceedings of the ACM Web Conference 2022|2022
374 cit.
4
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.
5
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information
Unknown Journal|2023
89 cit.
6
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.
7
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining|2022
82 cit.
8
Multi-behavior Self-supervised Learning for Recommendation
Unknown Journal|2023
72 cit.
9
CTRLsum: Towards Generic Controllable Text Summarization
Unknown Journal|2022
61 cit.
10
Real-time Short Video Recommendation on Mobile Devices
Proceedings of the 31st ACM International Conference on Information & Knowledge Management|2022
60 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Robert E. Schapire
AT&T (United States)
2
John Riedl
United Monolithic Semiconductor (France)
3
William G. Macready
Santa Fe Institute
4
Alexander Tuzhilin
New York University
5
Yoram Singer
Greenwich Hospital
6
Manfred K. Warmuth
University of California, Santa Cruz
7
Csaba Szepesvári
HUN-REN Institute for Computer Science and Control
8
Lars Schmidt-Thieme
University of Hildesheim
9
Andreas Krause
ETH Zurich
10
Satyen Kale
Princeton University

Current Senior Leaders Papers

1
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
Journal of Computer and System Sciences|1997
20.3k cit.
2
Maximum entropy modeling of species geographic distributions
Ecological Modelling|2005
17.7k cit.
3
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation|1997
13.9k cit.
4
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
IEEE Transactions on Knowledge and Data Engineering|2005
10.3k cit.
5
Item-based collaborative filtering recommendation algorithms
Unknown Journal|2001
9k cit.
6
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Unknown Journal|2010
8.6k cit.
7
Experiments with a new boosting algorithm
Unknown Journal|1996
7.6k cit.
8
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems|2004
5.8k cit.
9
GroupLens
Unknown Journal|1994
5k cit.
10
The Strength of Weak Learnability
Machine Learning|1990
3.3k cit.

Indexing Advanced Bandit Algorithms Research Reagents

Citation data for reagents in this field is currently compiling.