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Stefan Szeider

34 papers · 2013–2026 · 5 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)
🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (11) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ† Keyword Champion (9) πŸ—ƒοΈ Keyword Collector (112) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (31) ⚑ Prolific Year (6)

Conferences

AAAI (16) IJCAI (12) ICML (3) NIPS (2) UAI (1)

Papers

Graph Choosability via SAT: Beyond the Nullstellensatz AAAI 2026 Generating Streamlining Constraints with Large Language Models (Abstract Reprint) AAAI 2026 Computing Probabilistic Explanations for ML Models: Fixed-Parameter Algorithms AAAI 2026 Optimal Decision Tree Pruning Revisited: Algorithms and Complexity ICML 2025 Breaking Symmetries in Quantified Graph Search: A Comparative Study AAAI 2025 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection AAAI 2024 Learning Small Decision Trees for Data of Low Rank-Width AAAI 2024 A General Theoretical Framework for Learning Smallest Interpretable Models AAAI 2024 Compilation and Fast Model Counting beyond CNF IJCAI 2024 Revisiting Causal Discovery from a Complexity-Theoretic Perspective IJCAI 2024 Hardness of Random Reordered Encodings of Parity for Resolution and CDCL AAAI 2024 The Parameterized Complexity of Finding Concise Local Explanations IJCAI 2023 Circuit Minimization with QBF-Based Exact Synthesis AAAI 2023 Inconsistent Cores for ASP: The Perks and Perils of Non-monotonicity AAAI 2023 Co-Certificate Learning with SAT Modulo Symmetries IJCAI 2023 Computing Twin-width with SAT and Branch & Bound IJCAI 2023 The Computational Complexity of Concise Hypersphere Classification ICML 2023 Learning Small Decision Trees with Large Domain IJCAI 2023 Tractable Abstract Argumentation via Backdoor-Treewidth AAAI 2022 Learning large Bayesian networks with expert constraints UAI 2022 Parameterized Complexity of Small Decision Tree Learning AAAI 2021 The Parameterized Complexity of Clustering Incomplete Data AAAI 2021 Learning Fast-Inference Bayesian Networks NIPS 2021 Backdoor DNFs IJCAI 2021 Computing Optimal Hypertree Decompositions with SAT IJCAI 2021 Finding the Hardest Formulas for Resolution (Extended Abstract) IJCAI 2021 Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021 SAT-based Decision Tree Learning for Large Data Sets AAAI 2021 On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank AAAI 2020 Threshold Treewidth and Hypertree Width IJCAI 2020 The Parameterized Complexity of Cascading Portfolio Scheduling NIPS 2019 Parameterized Algorithms for the Matrix Completion Problem ICML 2018 A SAT Approach to Branchwidth IJCAI 2017 Backdoors to Abduction IJCAI 2013