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Constrained Bayesian Optimization with Max-Value Entropy Search


Oct 15, 2019
Valerio Perrone, Iaroslav Shcherbatyi, Rodolphe Jenatton, Cedric Archambeau, Matthias Seeger


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A Copula approach for hyperparameter transfer learning


Sep 30, 2019
David Salinas, Huibin Shen, Valerio Perrone


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Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning


Sep 27, 2019
Valerio Perrone, Huibin Shen, Matthias Seeger, Cedric Archambeau, Rodolphe Jenatton


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GASC: Genre-Aware Semantic Change for Ancient Greek


Mar 13, 2019
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith, Barbara McGillivray


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A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks


Nov 06, 2018
Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Yun S. Song

* 9 pages, 8 figures 

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Multiple Adaptive Bayesian Linear Regression for Scalable Bayesian Optimization with Warm Start


Dec 08, 2017
Valerio Perrone, Rodolphe Jenatton, Matthias Seeger, Cedric Archambeau


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Poisson Random Fields for Dynamic Feature Models


Nov 22, 2016
Valerio Perrone, Paul A. Jenkins, Dario Spano, Yee Whye Teh


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Relativistic Monte Carlo


Sep 14, 2016
Xiaoyu Lu, Valerio Perrone, Leonard Hasenclever, Yee Whye Teh, Sebastian J. Vollmer


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