A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems

no code implementations • 16 Oct 2021 • Arpan Biswas, Claudio Fuentes, Christopher Hoyle

We propose a nested weighted Tchebycheff Multi-objective Bayesian optimization framework where we build a regression model selection procedure from an ensemble of models, towards better estimation of the uncertain parameters of the weighted-Tchebycheff expensive black-box multi-objective function.

Bayesian Optimization Model Selection +1

200K+ Crowdsourced Political Arguments for a New Chilean Constitution

no code implementations • WS 2017 • Constanza Fierro, Claudio Fuentes, Jorge P{\'e}rez, Mauricio Quezada

In this paper we present the dataset of 200, 000+ political arguments produced in the local phase of the 2016 Chilean constitutional process.

Argument Mining General Classification +1