Valerio Perrone
10 papers · 2017–2022 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (5) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(22)
π
Conference Polyglot
(7)
π
Academic Marathon
(5)
π
Century Club
(10)
ποΈ
Keyword Collector
(50)
π
Trend Setter
π₯
Unstoppable
(6)
Conferences
NIPS (3)
AUTOML (2)
ACL (1)
AISTATS (1)
ICML (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
bayesian optimization
(5)
hyperparameter optimization
(5)
transfer learning
(4)
markov chain monte carlo
(2)
bayesian inference
(1)
markov decision process
(1)
bayesian nonparametrics
(1)
early stopping
(1)
distributed learning
(1)
neural architecture search
(1)
constrained optimization
(1)
likelihood-free inference
(1)
quantile regression
(1)
bayesian model
(1)
gaussian process
(1)
topic modeling
(1)
bayesian linear regression
(1)
indian buffet process
(1)
black-box optimization
(1)
multi-task learning
(1)
Papers
Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research
AUTOML 2022
Automatic Termination for Hyperparameter Optimization
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
NIPS 2019
Scalable Hyperparameter Transfer Learning
NIPS 2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
NIPS 2018
Relativistic Monte Carlo
AISTATS 2017
Poisson Random Fields for Dynamic Feature Models
JMLR 2017