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07/27/2023
On (Normalised) Discounted Cumulative Gain as an Offline Evaluation Metric for Top-n Recommendation
Approaches to recommendation are typically evaluated in one of two ways:...
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05/31/2023
Deep Stochastic Mechanics
This paper introduces a novel deep-learning-based approach for numerical...
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06/11/2022
Gradient Boosting Performs Low-Rank Gaussian Process Inference
This paper shows that gradient boosting based on symmetric decision tree...
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04/04/2022
Which Tricks are Important for Learning to Rank?
Nowadays, state-of-the-art learning-to-rank (LTR) methods are based on g...
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06/18/2020
Uncertainty in Gradient Boosting via Ensembles
Gradient boosting is a powerful machine learning technique that is parti...
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03/04/2020
StochasticRank: Global Optimization of Scale-Free Discrete Functions
In this paper, we introduce a powerful and efficient framework for the d...
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01/20/2020