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Results: 1,032
Number of items: 1,032
  • Open Access
    Ghader, H. (2020). An empirical analysis of phrase-based and neural machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Li, Z. (2020). Optimizing interactive systems with data-driven objectives. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Jagerman, R. M. (2020). Efficient, safe and adaptive learning from user interactions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Dakwale, P. (2020). Strategies for effective utilization of training data for machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Jagerman, R., Markov, I., & de Rijke, M. (2020). Safe Exploration for Optimizing Contextual Bandits. (pp. 23). ArXiv. https://doi.org/10.48550/arXiv.2002.00467
  • Open Access
    Huang, J., Oosterhuis, H., de Rijke, M., & van Hoof, H. (2020). Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. In RECSYS 2020: 14th ACM Conference on Recommender Systems : Virtual Event, Brazil, September 22-26, 2020 (pp. 190–199). The Association for Computing Machinery. https://doi.org/10.1145/3383313.3412252
  • Open Access
    Vardasbi, A., Oosterhuis, H., & de Rijke, M. (2020). When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 1475–1484). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3412031
  • Open Access
    Dehghani, M. (2020). Learning with imperfect supervision for language understanding. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
  • Open Access
    ter Hoeve, M., Sim, R., Nouri, E., Fourney, A., de Rijke, M., & White, R. W. (2020). Conversations with Documents: An Exploration of Document-Centered Assistance. Paper presented at 5th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2020, Vancouver, Canada. https://doi.org/10.48550/arXiv.2002.00747
  • Open Access
    Xie, X., Mao, J., Liu, Y., & de Rijke, M. (2020). Modeling User Behavior for Vertical Search: Images, Apps and Products. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 2440-2443). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401423
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