Guns, Tias

34 publications

JAIR 2026 Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning Mattia Silvestri, Senne Berden, Gaetano Signorelli, Ali Irfan Mahmutogullari, Jayanta Mandi, Brandon Amos, Tias Guns, Michele Lombardi

JAIR 2025 A Divide, Align and Conquer Strategy for Program Synthesis Jonas Witt, Sebastijan Dumancic, Tias Guns, Claus-Christian Carbon

JAIR 2025 Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities Quentin Cappart, Tias Guns, Michele Lombardi, Gilles Pesant, Dimos Tsouros

AAAI 2025 Exploiting Symmetries in MUS Computation Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts, Tias Guns

NeurIPS 2025 Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints Jayanta Mandi, Marianne Defresne, Senne Berden, Tias Guns

AAAI 2025 Generalizing Constraint Models in Constraint Acquisition Dimos Tsouros, Senne Berden, Steven Prestwich, Tias Guns

IJCAI 2025 Preference Elicitation for Multi-Objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation Marianne Defresne, Jayanta Mandi, Tias Guns

NeurIPS 2025 Solver-Free Decision-Focused Learning for Linear Optimization Problems Senne Berden, Ali İrfan Mahmutoğulları, Dimos Tsouros, Tias Guns

JAIR 2024 Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto

AAAI 2024 Learning to Learn in Interactive Constraint Acquisition Dimosthenis C. Tsouros, Senne Berden, Tias Guns

JAIR 2023 Efficiently Explaining CSPs with Unsatisfiable Subset Optimization Emilio Gamba, Bart Bogaerts, Tias Guns

ICMLW 2023 Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali İrfan Mahmutoğulları, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi

AAAI 2023 Sudoku Assistant - An AI-Powered App to Help Solve Pen-and-Paper Sudokus Tias Guns, Emilio Gamba, Maxime Mulamba, Ignace Bleukx, Senne Berden, Milan Pesa

ICML 2022 Decision-Focused Learning: Through the Lens of Learning to Rank Jayanta Mandi, Vı́ctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

IJCAI 2021 Contrastive Losses and Solution Caching for Predict-and-Optimize Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns

IJCAI 2021 Efficiently Explaining CSPs with Unsatisfiable Subset Optimization Emilio Gamba, Bart Bogaerts, Tias Guns

AAAI 2021 Knowledge Refactoring for Inductive Program Synthesis Sebastijan Dumancic, Tias Guns, Andrew Cropper

AAAI 2020 Dynamic Programming for Predict+Optimise Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan

NeurIPS 2020 Interior Point Solving for LP-Based Prediction+optimisation Jayanta Mandi, Tias Guns

AAAI 2020 Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems Jayanta Mandi, Emir Demirovic, Peter J. Stuckey, Tias Guns

IJCAI 2019 Learning Relational Representations with Auto-Encoding Logic Programs Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel

IJCAI 2019 Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns

MLJ 2017 Learning Constraints in Spreadsheets and Tabular Data Samuel Kolb, Sergey Paramonov, Tias Guns, Luc De Raedt

IJCAI 2017 Stochastic Constraint Programming with And-or Branch-and-Bound Behrouz Babaki, Tias Guns, Luc De Raedt

ECML-PKDD 2016 An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming John O. R. Aoga, Tias Guns, Pierre Schaus

IJCAI 2013 MiningZinc: A Modeling Language for Constraint-Based Mining Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt

AAAI 2010 Constraint Programming for Data Mining and Machine Learning Luc De Raedt, Tias Guns, Siegfried Nijssen

ECML-PKDD 2010 Integrating Constraint Programming and Itemset Mining Siegfried Nijssen, Tias Guns