Valerio Perrone
Valerio Perrone
Machine Learning Scientist, Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Scalable hyperparameter transfer learning
V Perrone, R Jenatton, MW Seeger, C Archambeau
Advances in Neural Information Processing Systems, 6845-6855, 2018
432018
Poisson Random Fields for Dynamic Feature Models
V Perrone, PA Jenkins, D Spano, YW Teh
Journal of Machine Learning Research 18 (127), 1-45, 2017
362017
Relativistic Monte Carlo
X Lu*, V Perrone*, L Hasenclever, YW Teh, SJ Vollmer, (*joint first author)
Proceedings of the 20th International Conference on Artificial Intelligenceá…, 2017
312017
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
J Chan, V Perrone, JP Spence, PA Jenkins, S Mathieson, YS Song
Advances in Neural Information Processing Systems, 8603-8614, 2018
28*2018
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
V Perrone, H Shen, MW Seeger, C Archambeau, R Jenatton
Advances in Neural Information Processing Systems, 12771-12781, 2019
132019
GASC: Genre-Aware Semantic Change for Ancient Greek
V Perrone, M Palma, S Hengchen, A Vatri, JQ Smith, B McGillivray
ACL International Workshop on Computational Approaches to Historicalá…, 2019
122019
Multiple adaptive Bayesian linear regression for scalable Bayesian optimization with warm start
V Perrone, R Jenatton, M Seeger, C Archambeau
Advances in Neural Information Processing Systems Workshop on Meta-Learning, 2017
122017
Constrained Bayesian Optimization with Max-Value Entropy Search
V Perrone, I Shcherbatyi, R Jenatton, C Archambeau, M Seeger
Advances in Neural Information Processing Systems Workshop on Meta-Learning, 2019
62019
A Quantile-based Approach for Hyperparameter Transfer Learning
D Salinas, H Shen, V Perrone
International Conference on Machine Learning 2020, 7706--7716, 2019
2*2019
Fair Bayesian Optimization
V Perrone, M Donini, K Kenthapadi, C Archambeau
International Conference on Machine Learning Workshop on AutoML, 2020
12020
Cost-aware Bayesian Optimization
EH Lee, V Perrone, C Archambeau, M Seeger
International Conference on Machine Learning Workshop on AutoML, 2020
12020
Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization
G Guinet, V Perrone, C Archambeau
arXiv preprint arXiv:2011.11456, 2020
2020
Bayesian models for scalable machine learning
V Perrone
University of Oxford, University of Warwick, 2018
2018
Bayesian Optimization with Fairness Constraints
V Perrone, M Donini, K Kenthapadi, C Archambeau
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Articles 1–14