Publications
DBLP | Google Scholar
Computer Vision | Natural Language Processing | Responsible AI | Recommender Systems | Machine Learning | Algorithmic Reasoning | Search & Optimization | Algorithm Configuration
Patents | Theses
Computer Vision
ACM DocEng 2023
Read-Write-Learn: Self-Learning for Handwriting Recognition, Adrian Boteanu, Du Cheng, Serdar Kadioglu, ACM Document Engineering
Natural Language Processing
CP 2023
Holy Grail 2.0: From Natural Language to Constraint Models, Dimos Tsouros, Hélène Verhaeghe, Serdar Kadioglu, Tias Guns, PTHG-23: The Sixth Workshop on Progress Towards the Holy GrailCPAIOR 2023
NER4OPT: Named Entity Recognition for Optimization, Parag Dakle, Serdar Kadioglu, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research [Presentation Slides] [library] [Hugging Face demo]NeurIPS 2022
Natural Language for Optimization, Parag Dakle, Serdar Kadioglu, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi, Ravisutha Srinivasamurthy, Conference on Neural Information Processing Systems [library] [Hugging Face demo]AAAI 2021
Representing the unification of text featurization using a context-free grammar, Doruk Kilitcioglu, Serdar Kadioglu [bibtex] [video]Constraints 2010
Grammar constraints, Serdar Kadioglu, Meinolf Sellmann [bibtex]AAAI 2008
Efficient context-free grammar constraints, Serdar Kadioglu, Meinolf Sellmann [bibtex]
Responsible AI
MAKE 2023
Explainable AI using expressive Boolean formulas, Gili Rosenberg, J. Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadıoğlu, Sima E. Borujeni, Helmut G. Katzgraber, Machine Learning and Knowledge Extraction - XAIarXiv 2023
Explainable AI using expressive Boolean formulas, Gili Rosenberg, J. Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadıoğlu, Sima E. Borujeni, Helmut G. Katzgraber [Fidelity blog post]LION 2023
Surrogate Membership for Inferred Metrics to Enhance Fairness Evaluation, Melinda Thielbar, Serdar Kadioglu, Chenhui Zhang, Rick Pack, Lukas Dannull, Learning and Intelligent Optimization [library]ICMLA 2021
Surrogate Ground Truth Generation to Enhance Binary Fairness Evaluation, Filip Michalsky, Serdar Kadioglu, IEEE International Conference on Machine Learning and Applications
Recommender Systems
TMLR 2022
Non-Deterministic Behavior of Thompson Sampling with Linear Payoffs and How to Avoid It, Doruk Kilitcioglu, Serdar Kadioglu, Transactions on Machine Learning Research Received TMLR’s first reproducibility certificateIJCAI 2021
Active Learning Meets Optimized Item Selection, Bernard Kleynhans, Xin Wang, Serdar Kadioglu, International Joint Conference on Artificial Intelligence, Data Science meets Optimization [library]CPAIOR 2021
Optimized Item Selection to Boost Exploration for Recommender Systems, Serdar Kadioglu, Bernard Kleynhans, Xin Wang, International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research [bibtex] [video] [library]IJAIT 2021
Parallelizable contextual multi-armed bandits, Emily Strong, Bernard Kleynhans, Serdar Kadioglu, International Journal on Artificial Intelligence ToolsJDSA 2021
Modeling uncertainty to improve personalized recommendations via Bayesian deep learning, Xin Wang, Serdar Kadioglu, Springer Journal of Data Science Special Issue on Next-Generation Recommender Systems [bibtex]ICTAI 2019
Bayesian deep learning based exploration-exploitation for personalized recommendations, Xin Wang, Serdar Kadioglu, IEEE International Conference on Tools with Artificial Intelligence [bibtex] [Re:Work Boston]ICTAI 2019
MABWiser: contextual multi-armed bandits, Emily Strong, Bernard Kleynhans, Serdar Kadioglu, IEEE International Conference on Tools with Artificial Intelligence, [bibtex] [code]
Machine Learning
AI Magazine 2023
Seq2Pat: Sequence-to-pattern generation to bridge pattern mining with machine learning, Serdar Kadioglu, Xin Wang, Amin Hosseininasab, Willem-Jan van Hoeve, AI Magazine [library]AAAI 2023
Bridging Constraint-based Sequential Pattern Mining and Machine Learning, Xin Wang, Serdar Kadioglu, Bridge on Constraint Programming and Machine Learning [library]Frontiers 2022
Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis, Sohom Ghosh, Shefali Yadav, Xin Wang, Bibhash Serdar Kadioglu, Knowledge Discovery from Unstructured Data in Finance [library]AAAI 2022
Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets, Xin Wang, Serdar Kadioglu, Knowledge Discovery in Finance [library]AAAI 2022
Seq2Pat: Sequence-to-Pattern Generation for Constraint-based Sequential Pattern Mining, Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadioglu, Willem-Jan van Hoeve [library]CP 2019
Constrained logistic regression to avoid undesirable predictions, David Bergman, Mohsen Emadikhiav and Serdar KadiogluLION 2017
Learning a reactive restart strategy to improve stochastic search, Serdar Kadioglu, Meinolf Sellmann, Markus Wager, Learning and Intelligent Optimization [bibtex]Computer Speech & Language 2015
Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits, Jouni Pohjalainen, Okko Räsänen, Serdar Kadioglu [bibtex] [code]Interspeech 2012
Feature selection for speaker traits, Jouni Pohjalainen, Serdar Kadioglu, Okko Räsänen [bibtex] [code]
Algorithmic Reasoning
MOPTA 2021
Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem Finalist at the AIMMS-MOPTA Optimization Modeling Competition Brown NewsEuropean Journal on Comb. Opt. 2019
Core group placement: allocation and provisioning of heterogeneous resources, Serdar Kadioglu, European Journal on Computational Optimization [bibtex]CoRR 2017
Column generation for interaction coverage in combinatorial software testing, Serdar Kadioglu [bibtex]- Heterogeneous resource allocation in cloud management, Serdar Kadioglu, Mike Colena, Samir Sebbah, IEEE Network Computing and Applications,
IEEE NCA 2016
[bibtex] CP 2016
Availability optimization in cloud-based In-memory data grids, Samir Sebbah, Claire Bagley, Mike Colena, Serdar Kadioglu, Constraint Programming [bibtex]CP 2015
Optimizing the cloud service experience using constraint programming, Serdar Kadioglu, Mike Colena, Steven Huberman, Claire Bagley, Constraint Programming [bibtex]CPAIOR 2010
Upper bounds on the number of solutions of binary integer programs, Siddhartha Jain, Serdar Kadioglu, Meinolf Sellmann, Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems [bibtex]CP 2009
Same-relation constraints, Christopher Jefferson, Serdar Kadioglu, Karen E. Petrie, Meinolf Sellmann, Stanislav Zivny, Constraint Programming [bibtex]
Search & Optimization
Dagsthul 2022
Data-Driven Combinatorial Optimization, Dagstuhl Research Seminar ReportsINFORMS 2020
Seq2Pat: sequence-to-pattern generation in large-scale sequence databases, Session on Machine Learning and Discrete OptimizationDagsthul 2018
Planning & operations research, Dagstuhl Research Seminar Reports [bibtex]Europen Journal on OR 2016
DASH: dynamic approach for switching heuristics, Giovanni Di Liberto, Serdar Kadioglu, Kevin Leo, Yuri Malitsky, European Journal on Operations Research [bibtex]Constraints 2015
Efficient search procedures for solving combinatorial problems, Serdar Kadioglu [bibtex]AAAI 2014
Parallel restarted search, André A. Ciré, Serdar Kadioglu, Meinolf Sellmann [bibtex]AAAI 2012
Non-model-based search guidance for set partitioning problems, Serdar Kadioglu, Yuri Malitsky, Meinolf Sellmann, [bibtex]CP 2011
Incorporating variance in impact-based search, Serdar Kadioglu, Eoin O’Mahony, Philippe Refalo, Meinolf Sellmann, Constraint Programming [bibtex]- Dialectic search, Serdar Kadioglu, Meinolf Sellmann, Constraint Programming,
CP 2009
[bibtex] Banff 2009
Search in constraint programming, Banff International Research Workshop,Crocs 2009
A local search meta-Heuristic for non-specialists, Serdar Kadioglu, Meinolf Sellmann, Constraint Reasoning and Optimization for Computational Sustainability [bibtex]CP 2008
Dichotomic search protocols for constrained optimization, Meinolf Sellmann, Serdar Kadioglu, Constraint Programming [bibtex] Nominated for the Best Paper Award
Algorithm Configuration
CP 2019
How to win gold at a SAT competition without writing a SAT solver, Serdar Kadioglu, Yuri Malitsky, Meinolf Sellmann, Constraint Programming Anniversary VolumeCoRR 2014
Transformation-based feature computation for algorithm portfolios, Barry Hurley, Serdar Kadioglu, Yuri Malitsky, Barry O’Sullivan [bibtex]CoRR 2013
DASH: dynamic approach for switching heuristics, Giovanni Di Liberto, Serdar Kadioglu, Kevin Leo, Yuri Malitsky [bibtex]CP 2011
Algorithm selection and scheduling, Serdar Kadioglu, Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann, Constraint Programming [bibtex] [code] Winner of the 2011 SAT Solver Competition, 3S, in crafted and random categories collecting 2 gold and 7 medals in totalECAI 2010
ISAC: instance-specific algorithm configuration, Serdar Kadioglu, Yuri Malitsky, Meinolf Sellmann, Kevin Tierney, European Conference on Artificial Intelligence [bibtex] [code]
Patents
- Self-learning financial content recommendations to solve the cold start problem, US Patent Filed
- Determining future user actions using time-based featurization of clickstream data, US Patent 11799734, 2023
- Surrogate ground truth generation in artificial intelligence based marketing campaigns, US Patent 0188843, 2022
- Digital content classification and recommendation using reinforcement learning, US Patent 0142196, 2022
- Automated predictive product recommendations using reinforcement learning, US Patent 10936961, 2021
- Selecting a set of test configurations associated with a particular coverage strength using a constraint solver, US Patent 10248550, 2019
- Systems and methods for providing dynamic and real time simulations of matching resources to requests, US Patent 10146665, 2018
- Assigning applications to virtual machines using constraint programming, US Patent 10007538, 2018
- System and method of assigning requests to resources using constraint programming, US Patent 9588819, 2017
Theses
- Efficient search procedures for solving combinatorial problems, PhD thesis, Department of Computer Science, Brown University 2012 Awarded the 2010 Ph.D. Scholarship by IBM
- Grammar constraints combining expressiveness with efficiency, M.Sc. thesis, Department of Computer Science, Brown University 2009