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Number of items: 4
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Khandel, P., Yates, A. C., Varbanescu, A. L., de Rijke, M., & Pimentel, A. D. (2025). PEIR: Modeling Performance in Neural Information Retrieval. In C. Hauff, C. Macdonald, D. Jannach, G. Kazai, F. M. Nardini, F. Pinelli, F. Silvestri, & N. Tonellotto (Eds.), Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 202 : proceedings (Vol. II, pp. 279-294). (Lecture Notes in Computer Science; Vol. 15573). Springer. https://doi.org/10.1007/978-3-031-88711-6_18 -
Thijssen, S., Khandel, P., Yates, A., & Varbanescu, A.-L. (2024). MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training. In D. Zeinalipur, D. Blanco Heras, G. Pallis, H. Herodotou, D. Trihinas, D. Balouek, P. Diehl, T. Cojean, K. Fürlinger, M. H. Kirkeby, M. Nardelli, & P. Di Sanzo (Eds.), Euro-Par 2023: Parallel Processing Workshops: Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28-September 1, 2023 : revised selected papers (Vol. I, pp. 232–245). (Lecture Notes in Computer Science; Vol. 14351). Springer. https://doi.org/10.1007/978-3-031-50684-0_18
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Khandel, P., Yates, A., Varbanescu, A.-L., de Rijke, M., & Pimentel, A. (2024). Distillation vs. Sampling for Efficient Training of Learning to Rank Models. In ICTIR '24: Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval : July 13, 2024 Washington, DC, USA (pp. 51-60). The Association for Computing Machinery. https://doi.org/10.1145/3664190.3672527
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Khandel, P., Markov, I., Yates, A., & Varbanescu, A.-L. (2022). ParClick: A Scalable Algorithm for EM-based Click Models. In WWW'22: proceedings of the ACM Web Conference 2022 : April 25-29, 2022, VIrtual Event, Lyon, France (pp. 392-400). Association for Computing Machinery. https://doi.org/10.1145/3485447.3511967
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