Valerio Perrone
10 papers · 2017–2022 · 7 venues · across top CS/AI venues
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bayesian optimization
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Papers
Automatic Termination for Hyperparameter Optimization
AutoML 2022
Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research
AutoML 2022
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization
UAI 2021
A Quantile-based Approach for Hyperparameter Transfer Learning
ICML 2020
GASC: Genre-Aware Semantic Change for Ancient Greek
ACL 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
NeurIPS 2019
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
NeurIPS 2018
Scalable Hyperparameter Transfer Learning
NeurIPS 2018
Poisson Random Fields for Dynamic Feature Models
JMLR 2017
Relativistic Monte Carlo
AISTATS 2017