Bekker, Jessa

9 publications

MLJ 2025 Correction to: Modeling PU Learning Using Probabilistic Logic Programming Victor Verreet, Luc De Raedt, Jessa Bekker

AISTATS 2025 Learning from Biased Positive-Unlabeled Data via Threshold Calibration Paweł Teisseyre, Timo Martens, Jessa Bekker, Jesse Davis

MLJ 2024 Modeling PU Learning Using Probabilistic Logic Programming Victor Verreet, Luc De Raedt, Jessa Bekker

AAAI 2022 Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel

MLJ 2020 Learning from Positive and Unlabeled Data: A Survey Jessa Bekker, Jesse Davis

ECML-PKDD 2019 Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data Jessa Bekker, Pieter Robberechts, Jesse Davis

AAAI 2018 Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction Jessa Bekker, Jesse Davis

UAI 2017 Learning the Structure of Probabilistic Sentential Decision Diagrams Yitao Liang, Jessa Bekker, Guy Van den Broeck

NeurIPS 2015 Tractable Learning for Complex Probability Queries Jessa Bekker, Jesse Davis, Arthur Choi, Adnan Darwiche, Guy Van den Broeck