All Stories

  1. Early Exit Strategies for Approximate k -NN Search in Dense Retrieval

    Article • October 2024, ACM (Association for Computing Machinery)

    Claudio Lucchese, Raffaele Perego

  2. A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search

    Article • July 2024, ACM (Association for Computing Machinery)

    Claudio Lucchese

  3. Special Section on Efficiency in Neural Information Retrieval

    Article • ACM Transactions on Information Systems, April 2024, ACM (Association for Computing Machinery)

    Claudio Lucchese

  4. LambdaRank Gradients are Incoherent

    Article • October 2023, ACM (Association for Computing Machinery)

    Claudio Lucchese

  5. Can Embeddings Analysis Explain Large Language Model Ranking?

    Article • October 2023, ACM (Association for Computing Machinery)

    Claudio Lucchese, Raffaele Perego

  6. On the Effect of Low-Ranked Documents: A New Sampling Function for Selective Gradient Boosting

    Article • March 2023, ACM (Association for Computing Machinery)

    Claudio Lucchese

  7. Filtering out Outliers in Learning to Rank

    Article • August 2022, ACM (Association for Computing Machinery)

    Claudio Lucchese

  8. ReNeuIR: Reaching Efficiency in Neural Information Retrieval

    Article • July 2022, ACM (Association for Computing Machinery)

    Claudio Lucchese

  9. ILMART: Interpretable Ranking with Constrained LambdaMART

    Article • July 2022, ACM (Association for Computing Machinery)

    Claudio Lucchese, Raffaele Perego

  10. EiFFFeL

    Article • April 2022, ACM (Association for Computing Machinery)

    Seyum assefa Abebe, Claudio Lucchese

  11. A comparison of spatio-temporal prediction methods

    Article • April 2022, ACM (Association for Computing Machinery)

    Claudio Lucchese, Mirko Modenese

  12. Learning Early Exit Strategies for Additive Ranking Ensembles

    Article • July 2021, ACM (Association for Computing Machinery)

    Raffaele Perego, Claudio Lucchese

  13. Adaptive attacks on machine learning models

    Article • May 2021, ACM (Association for Computing Machinery)

    Claudio Lucchese, Stefano Calzavara

  14. Query-level Early Exit for Additive Learning-to-Rank Ensembles

    Article • July 2020, ACM (Association for Computing Machinery)

    Claudio Lucchese, Raffaele Perego

  15. Adversarial Training of Gradient-Boosted Decision Trees

    Article • November 2019, ACM (Association for Computing Machinery)

    Claudio Lucchese, Stefano Calzavara

  16. Learning to Rank in Theory and Practice

    Article • July 2019, ACM (Association for Computing Machinery)

    Claudio Lucchese

  17. X-CLE a VER

    Article • ACM Transactions on Intelligent Systems and Technology, November 2018, ACM (Association for Computing Machinery)

    Raffaele Perego, Claudio Lucchese

  18. Efficient and Effective Query Expansion for Web Search

    Article • October 2018, ACM (Association for Computing Machinery)

    Claudio Lucchese, Raffaele Perego

  19. Continuation Methods and Curriculum Learning for Learning to Rank

    Article • October 2018, ACM (Association for Computing Machinery)

    Claudio Lucchese

  20. Selective Gradient Boosting for Effective Learning to Rank

    Article • June 2018, ACM (Association for Computing Machinery)

    Claudio Lucchese

  21. Do Violent People Smile

    Article • January 2018, ACM (Association for Computing Machinery)

    Claudio Lucchese