Jesse Davis

26 papers · 2010–2026 · 11 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌍 Conference Polyglot (10) 🏃 Academic Marathon (15) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15)

🌍 Conference Polyglot (10) 🏃 Academic Marathon (15) 🧭 Keyword Pioneer 🏆 Keyword Champion (3) 🔥 Unstoppable (7) 📈 Trend Setter 💎 Century Club (25) 🚀 Conference Pioneer 🗃️ Keyword Collector (105)

Conferences

IJCAI (7) NIPS (4) AAAI (3) AISTATS (3) EMNLP (2) ICML (2) ACL (1) COLING (1) EACL (1) JMLR (1) UAI (1)

Top co-authors

Hendrik Blockeel (6) Laurens Devos (4) Ondrej Kuzelka (4) Nima Taghipour (3) Jessa Bekker (3) Mingxiao Li (3) Lorenzo Perini (3) Marie-Francine Moens (3) Timo Martens (2) Steven Schockaert (2)

Keywords

graphical model (3) lifted inference (3) adversarial example (3) probabilistic inference (3) tree ensemble (3) transfer learning (2) probabilistic modeling (2) knowledge base completion (2) markov logic network (2) markov network (2) anomaly detection (2) probabilistic programming (2) variable elimination (2) argument mining (2) probability word problem (2) probabilistic logic (1) embedding learning (1) feature selection (1) representation learning (1) rule-based learning (1)

Papers

Weakly-supervised Argument Mining with Boundary Refinement and Relation Denoising EACL 2026 Compressing tree ensembles through Level-wise Optimization and Pruning ICML 2025 Mitigating Negative Interference in Multilingual Knowledge Editing through Null-Space Constraints ACL 2025 Learning from biased positive-unlabeled data via threshold calibration AISTATS 2025 DMON: A Simple Yet Effective Approach for Argument Structure Learning COLING 2024 Faster Repeated Evasion Attacks in Tree Ensembles NIPS 2024 Robustness Verification of Multi-Class Tree Ensembles AAAI 2024 Unsupervised Anomaly Detection with Rejection NIPS 2023 Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias AAAI 2022 Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity AAAI 2022 Mapping probability word problems to executable representations EMNLP 2021 Versatile Verification of Tree Ensembles ICML 2021 VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract) IJCAI 2020 Class Prior Estimation in Active Positive and Unlabeled Learning IJCAI 2020 Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption UAI 2019 Induction of Interpretable Possibilistic Logic Theories from Relational Data IJCAI 2017 Solving Probability Problems in Natural Language IJCAI 2017 Learning Possibilistic Logic Theories from Default Rules IJCAI 2016 Dynamic Early Stopping for Naive Bayes IJCAI 2016 Tractable Learning for Complex Probability Queries NIPS 2015 Unsupervised Learning of an IS-A Taxonomy from a Limited Domain-Specific Corpus IJCAI 2015 Improving Markov Network Structure Learning Using Decision Trees JMLR 2014 Completeness Results for Lifted Variable Elimination AISTATS 2013 First-order Decomposition Trees NIPS 2013 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Learning First-Order Horn Clauses from Web Text EMNLP 2010