Valerio Perrone

Andreas Krause

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Flexible and Efficient Inference with Particles for the Variational Gaussian Approximation.

[BibT_eX]

[DOI]

Théo Galy-Fajou

Manfred Opper

Entropy, 2021

A Simple and Fast Baseline for Tuning Large XGBoost Models.

[BibT_eX]

[DOI]

Sanyam Kapoor

CoRR, 2021

A multi-objective perspective on jointly tuning hardware and hyperparameters.

[BibT_eX]

[DOI]

CoRR, 2021

Overfitting in Bayesian Optimization: an empirical study and early-stopping solution.

[BibT_eX]

[DOI]

Andreas Krause

CoRR, 2021

Lexical semantic change for Ancient Greek and Latin.

[BibT_eX]

[DOI]

CoRR, 2021

A Nonmyopic Approach to Cost-Constrained Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization.

[BibT_eX]

[DOI]

Barbara Pogorzelska

Miroslav Miladinovic

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fair Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization.

[BibT_eX]

[DOI]

Barbara Pogorzelska

Miroslav Miladinovic

CoRR, 2020

Amazon SageMaker Autopilot: a white box AutoML solution at scale.

[BibT_eX]

[DOI]

CoRR, 2020

Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization.

[BibT_eX]

[DOI]

Gauthier Guinet

CoRR, 2020

Fair Bayesian Optimization.

[BibT_eX]

[DOI]

Michele Donini

CoRR, 2020

Cost-aware Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

A Quantile-based Approach for Hyperparameter Transfer Learning.

[BibT_eX]

[DOI]

David Salinas

Huibin Shen

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Constrained Bayesian Optimization with Max-Value Entropy Search.

[BibT_eX]

[DOI]

CoRR, 2019

A Copula approach for hyperparameter transfer learning.

[BibT_eX]

[DOI]

David Salinas

Huibin Shen

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Huibin Shen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

GASC: Genre-Aware Semantic Change for Ancient Greek.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, 2019

2018

Scalable Hyperparameter Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Poisson Random Fields for Dynamic Feature Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Relativistic Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

NIPS Conference Papers 1987-2015.

[BibT_eX]

[DOI]