| Preference elicitation as an optimization problem A Sepliarskaia, J Kiseleva, F Radlinski, M de Rijke Proceedings of the 12th ACM Conference on Recommender Systems, 172-180, 2018 | 37 | 2018 |
| Evaluating disentangled representations A Sepliarskaia, J Kiseleva, M de Rijke arXiv preprint arXiv:1910.05587, 2019 | 11 | 2019 |
| How to not measure disentanglement A Sepliarskaia, J Kiseleva, M de Rijke arXiv preprint arXiv:1910.05587, 2019 | 9 | 2019 |
| Simple personalized search based on long-term behavioral signals A Sepliarskaia, F Radlinski, M de Rijke Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 7 | 2017 |
| LieGG: Studying Learned Lie Group Generators A Moskalev, A Sepliarskaia, I Sosnovik, A Smeulders arXiv preprint arXiv:2210.04345, 2022 | 5 | 2022 |
| A Deep Reinforcement Learning-Based Approach to Query-Free Interactive Target Item Retrieval A Sepliarskaia, S Genc, M de Rijke New York, NYACM, 2021 | 1 | 2021 |
| VC dimensions of group convolutional neural networks PC Petersen, A Sepliarskaia arXiv preprint arXiv:2212.09507, 2022 | | 2022 |
| Understanding user goals by analyzing logged interactions and asking the right questions A Sepliarskaia Universiteit van Amsterdam, 2019 | | 2019 |
| Disentangled Representations using Trained Models A Sepliarskaia, T Gärtner, P Forré | | |
Maarten de RijkeUniversity of Amsterdam & ICAIVerified email at uva.nl
