Sokolovska, Nataliya

9 publications

AAAI 2024 Learning GAI-Decomposable Utility Models for Multiattribute Decision Making Margot Herin, Patrice Perny, Nataliya Sokolovska

IJCAI 2024 Online Learning of Capacity-Based Preference Models Margot Herin, Patrice Perny, Nataliya Sokolovska

IJCAI 2023 Learning Preference Models with Sparse Interactions of Criteria Margot Herin, Patrice Perny, Nataliya Sokolovska

UAI 2022 Learning Sparse Representations of Preferences Within Choquet Expected Utility Theory Margot Herin, Patrice Perny, Nataliya Sokolovska

ACML 2020 Learning Interpretable Models Using Soft Integrity Constraints Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker

AISTATS 2019 Interpretable Cascade Classifiers with Abstention Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar

AISTATS 2018 A Provable Algorithm for Learning Interpretable Scoring Systems Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker

ECML-PKDD 2011 Aspects of Semi-Supervised and Active Learning in Conditional Random Fields Nataliya Sokolovska

ICML 2008 The Asymptotics of Semi-Supervised Learning in Discriminative Probabilistic Models Nataliya Sokolovska, Olivier Cappé, François Yvon