João Bravo — accepted AI-conference papers

2025

NRGBoost: Energy-Based Generative Boosted Trees

ICLR 2025poster

Despite the rise to dominance of deep learning in unstructured data domains, tree-based methods such as Random Forests (RF) and Gradient Boosted Decision Trees (GBDT) are still the workhorses for handling discriminative tasks on tabular data. We explore generative extensions of these popular algorit…

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2023

FairGBM: Gradient Boosting with Fairness Constraints

André Cruz, Catarina G Belém, João Bravo, Pedro Saleiro, Pedro Bizarro

ICLR 2023poster

Tabular data is prevalent in many high-stakes domains, such as financial services or public policy. Gradient Boosted Decision Trees (GBDT) are popular in these settings due to their scalability, performance, and low training cost. While fairness in these domains is a foremost concern, existing in-pr…

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