| 2024 | AAAI | Learning GAI-Decomposable Utility Models for Multiattribute Decision Making. | Margot Herin, Patrice Perny, Nataliya Sokolovska |
| 2024 | IJCAI | Online Learning of Capacity-Based Preference Models. | Margot Herin, Patrice Perny, Nataliya Sokolovska |
| 2023 | IJCAI | Learning Preference Models with Sparse Interactions of Criteria. | Margot Herin, Patrice Perny, Nataliya Sokolovska |
| 2022 | UAI | Learning sparse representations of preferences within Choquet expected utility theory. | Margot Herin, Patrice Perny, Nataliya Sokolovska |
| 2020 | ACML | Learning Interpretable Models using Soft Integrity Constraints. | Khaled Belahcne, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker |
| 2020 | IDA | A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks. | Asma Atamna, Nataliya Sokolovska, Jean-Claude Crivello |
| 2019 | AISTATS | Interpretable Cascade Classifiers with Abstention. | Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar |
| 2018 | AISTATS | A Provable Algorithm for Learning Interpretable Scoring Systems. | Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker |
| 2017 | IJCNN | Efficient global network learning from local reconstructions. | Sverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker |
| 2017 | IJCNN | The fused lasso penalty for learning interpretable medical scoring systems. | Nataliya Sokolovska, Yann Chevaleyre, Karine Clment, Jean-Daniel Zucker |
| 2016 | IJCNN | A probabilistic prior knowledge integration method: Application to generative and discriminative models. | Nataliya Sokolovska, Thierry Artires |
| 2016 | IJCNN | Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction. | Nataliya Sokolovska, Nguyen Thanh Hai, Karine Clment, Jean-Daniel Zucker |
| 2015 | IDA | Continuous and Discrete Deep Classifiers for Data Integration. | Nataliya Sokolovska, Salwa Rizkalla, Karine Clment, Jean-Daniel Zucker |
| 2012 | ICONIP | Sparse Gradient-Based Direct Policy Search. | Nataliya Sokolovska |
| 2011 | FOGA | Handling expensive optimization with large noise. | Rmi Coulom, Philippe Rolet, Nataliya Sokolovska, Olivier Teytaud |
| 2011 | ICONIP | Q-Learning with Double Progressive Widening: Application to Robotics. | Nataliya Sokolovska, Olivier Teytaud, Mario Milone |
| 2008 | ICML | The asymptotics of semi-supervised learning in discriminative probabilistic models. | Nataliya Sokolovska, Olivier Capp, Franois Yvon |