1. 2021

    Relational Boosted Bandits

    AAAI

    A contextual bandits algorithm for relational domains based on relational boosted trees, enabling interpretable and explainable models for link prediction, relational classification, and recommendation.

    Contextual BanditsRelational LearningReinforcement LearningGradient Boosting
  2. 2019

    A Service-Oriented Human Capital Management Recommendation Platform

    IEEE International System Conference (SysCon)

    A stateless, scalable, micro-service-based architecture that pushes towards automation of Human Capital Management through ML- and statistics-driven recommendation of jobs and candidates.

    Machine LearningRecommendationHuman Capital Management
  3. 2018

    Correlated discrete data generation using adversarial training

    2nd Workshop on Data Science for HCM, co-located with ECML-PKDD

    An adversarial-training-based model for generating correlated discrete data, with an approach for conditional generation, evaluated on a private skill-set dataset and MNIST.

    Deep LearningGANsAutoencodersCorrelational Neural Networks