7 citations · 30 across the 13 of their papers we have counts for
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stat.ML2020
Online Action Learning in High Dimensions: A Conservative Perspective
Claudio Cardoso Flores, Marcelo Cunha Medeiros
Sequential learning problems are common in several fields of research and practical applications. Examples include dynamic pricing and assortment, design of auctions and incentives…
stat.ML2018★ 5 cited
BooST: Boosting Smooth Trees for Partial Effect Estimation in Nonlinear Regressions
Yuri Fonseca, Marcelo Medeiros, Gabriel Vasconcelos +1
In this paper, we introduce a new machine learning (ML) model for nonlinear regression called the Boosted Smooth Transition Regression Trees (BooST), which is a combination of boos…