Claudio Lucchese
4 papers in the PaperMetrix corpus
Papers by this author
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Continuation Methods and Curriculum Learning for Learning to Rank
2018
In this paper we explore the use of Continuation Methods and Curriculum Learning techniques in the area of Learning to Rank. The basic idea is to design the training process as a learning path across …
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X-CLE <scp>a</scp> VER
2018 · ACM Transactions on Intelligent Systems and Technology
Learning-to-Rank (LtR) solutions are commonly used in large-scale information retrieval systems such as Web search engines, which have to return highly relevant documents in response to user query within fractions of seconds. The most effective …
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Adversarial Training of Gradient-Boosted Decision Trees
2019
Adversarial training is a prominent approach to make machine learning (ML) models resilient to adversarial examples. Unfortunately, such approach assumes the use of differentiable learning models, hence it cannot be applied to relevant ML techniques, …
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QuickScorer
2015
Learning-to-Rank models based on additive ensembles of regression trees have proven to be very effective for ranking query results returned by Web search engines, a scenario where quality and efficiency requirements are very demanding. Unfortunately, …