Serdar Kadioglu

Serdar Kadioglu

Brown University

H-index: 13

North America-United States

About Serdar Kadioglu

Serdar Kadioglu, With an exceptional h-index of 13 and a recent h-index of 9 (since 2020), a distinguished researcher at Brown University, specializes in the field of Artificial Intelligence, Machine Learning, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Design and Organization of Educational Competitions with Anonymous and Real-Time Leaderboards in Academic and Industrial Settings

Mab2Rec: Contextual Multi-Armed Bandits for Recommender Systems

Integrating optimized item selection with active learning for continuous exploration in recommender systems

Building higher-order abstractions from the components of recommender systems

Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth

Modeling uncertainty to improve personalized recommendations via Bayesian deep learning

Surrogate Membership for Inferred Metrics in Fairness Evaluation

Explainable Artificial Intelligence Using Expressive Boolean Formulas

Serdar Kadioglu Information

University

Position

| Fidelity Investments | Oracle

Citations(all)

1210

Citations(since 2020)

570

Cited By

1060

hIndex(all)

13

hIndex(since 2020)

9

i10Index(all)

15

i10Index(since 2020)

8

Email

University Profile Page

Brown University

Google Scholar

View Google Scholar Profile

Serdar Kadioglu Skills & Research Interests

Artificial Intelligence

Machine Learning

Optimization

Top articles of Serdar Kadioglu

Title

Journal

Author(s)

Publication Date

The Design and Organization of Educational Competitions with Anonymous and Real-Time Leaderboards in Academic and Industrial Settings

arXiv preprint arXiv:2402.07936

Serdar Kadıoğlu

Bernard Kleynhans

2024/2/7

Mab2Rec: Contextual Multi-Armed Bandits for Recommender Systems

Serdar Kadıoglu

2024

Integrating optimized item selection with active learning for continuous exploration in recommender systems

Annals of Mathematics and Artificial Intelligence

Serdar Kadıoğlu

Bernard Kleynhans

Xin Wang

2024/4/5

Building higher-order abstractions from the components of recommender systems

Proceedings of the AAAI Conference on Artificial Intelligence

Serdar Kadıoğlu

Bernard Kleynhans

2024/3/24

Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth

arXiv preprint arXiv:2403.12069

Serdar Kadioglu

Filip Michalsky

2024/2/12

Modeling uncertainty to improve personalized recommendations via Bayesian deep learning

International Journal of Data Science and Analytics

Xin Wang

Serdar Kadıoğlu

2023/8

Surrogate Membership for Inferred Metrics in Fairness Evaluation

Melinda Thielbar

Serdar Kadıoğlu

Chenhui Zhang

Rick Pack

Lukas Dannull

2023/6/4

Explainable Artificial Intelligence Using Expressive Boolean Formulas

Machine Learning and Knowledge Extraction

Gili Rosenberg

John Kyle Brubaker

Martin JA Schuetz

Grant Salton

Zhihuai Zhu

...

2023/11/24

Ner4Opt: Named Entity Recognition for Optimization Modelling from Natural Language

Parag Pravin Dakle

Serdar Kadıoğlu

Karthik Uppuluri

Regina Politi

Preethi Raghavan

...

2023/5/23

Determining future user actions using time-based featurization of clickstream data

2023/10/24

Seq2Pat: Sequence‐to‐pattern generation to bridge pattern mining with machine learning

AI Magazine

Serdar Kadıoğlu

Xin Wang

Amin Hosseininasab

Willem‐Jan van Hoeve

2023/3

Read-Write-Learn: Self-Learning for Handwriting Recognition

Adrian Boteanu

Du Cheng

Serdar Kadioğlu

2023/8/22

Holy Grail 2.0: From Natural Language to Constraint Models

arXiv preprint arXiv:2308.01589

Dimos Tsouros

Hélène Verhaeghe

Serdar Kadıoğlu

Tias Guns

2023/8/3

Dichotomic pattern mining integrated with constraint reasoning for digital behavior analysis

Frontiers in Artificial Intelligence

Sohom Ghosh

Shefali Yadav

Xin Wang

Bibhash Chakrabarty

Serdar Kadıoğlu

2022

Surrogate ground truth generation in artificial intelligence based marketing campaigns

2022/6/16

Digital content classification and recommendation based upon artificial intelligence reinforcement learning

2022/6/14

Dichotomic pattern mining with applications to intent prediction from semi-structured clickstream datasets

arXiv preprint arXiv:2201.09178

Xin Wang

Serdar Kadioglu

2022/1/23

Bias mitigation in recommender systems to improve diversity

Doruk Kilitçioğlu Du Cheng

Serdar Kadıoğlu

2022

Non-deterministic behavior of Thompson Sampling with linear payoffs and how to avoid It

Transactions on Machine Learning Research

Doruk Kilitçioğlu

Serdar Kadıoğlu

2022

Seq2Pat: Sequence-to-pattern generation for constraint-based sequential pattern mining

Proceedings of the AAAI Conference on Artificial Intelligence

Xin Wang

Amin Hosseininasab

Pablo Colunga

Serdar Kadıoğlu

Willem-Jan van Hoeve

2022/6/28

See List of Professors in Serdar Kadioglu University(Brown University)

Co-Authors

H-index: 31
Willem-Jan van Hoeve

Willem-Jan van Hoeve

Carnegie Mellon University

H-index: 24
Christopher Jefferson

Christopher Jefferson

University of St Andrews

H-index: 24
Kevin Tierney

Kevin Tierney

Universität Bielefeld

H-index: 23
Giovanni M. Di Liberto

Giovanni M. Di Liberto

Trinity College

H-index: 22
Jouni Pohjalainen

Jouni Pohjalainen

Aalto-yliopisto

H-index: 22
Andre Augusto Cire

Andre Augusto Cire

University of Toronto

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