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Results: 5
Number of items: 5
  • Open Access
    Moskalev, A., Sepliarskaia, A., Smeulders, A., & Sosnovik, I. (2023). LieGG: Studying Learned Lie Group Generators. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 33, pp. 25212-25223). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/a120382cf4e2e06d94d7ae7ac96fbe25-Abstract-Conference.html
  • Open Access
    Sepliarskaia, A., Genc, S., & de Rijke, M. (2021). A Deep Reinforcement Learning-Based Approach to Query-Free Interactive Target Item Retrieval. In Proceedings of the 2021 SIGIR Workshop on eCommerce (SIGIR eCom’20): July 15, 2021, Virtual Event, Montreal, Canada Article workshop paper 1 ACM. https://sigir-ecom.github.io/ecom21Papers/paper2.pdf
  • Open Access
    Sepliarskaia, A. (2019). Understanding user goals by analyzing logged interactions and asking the right questions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sepliarskaia, A., Kiseleva, J., & de Rijke, M. (2019). Evaluating Disentangled Representations. (v1 ed.) ArXiv. https://arxiv.org/abs/1910.05587
  • Open Access
    Sepliarskaia, A., Kiseleva, J., Radlinski, F., & de Rijke, M. (2018). Preference Elicitation as an Optimization Problem. In 12th ACM Conference on Recommender Systems: October 2-7, 2018 : RECSYS : Vancouver, BC : 2018 (pp. 172-180). Association for Computing Machinery. https://doi.org/10.1145/3240323.3240352
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