Alert button
Picture for Huibin Shen

Huibin Shen

Alert button

AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting

Aug 10, 2023
Oleksandr Shchur, Caner Turkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Yuyang Wang

Figure 1 for AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting
Figure 2 for AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting
Figure 3 for AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting
Figure 4 for AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting
Viaarxiv icon

Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation

Jun 29, 2023
Sigrid Passano Hellan, Huibin Shen, François-Xavier Aubet, David Salinas, Aaron Klein

Figure 1 for Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
Figure 2 for Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
Figure 3 for Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
Figure 4 for Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
Viaarxiv icon

Cross-Frequency Time Series Meta-Forecasting

Feb 04, 2023
Mike Van Ness, Huibin Shen, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Karthick Gopalswamy

Figure 1 for Cross-Frequency Time Series Meta-Forecasting
Figure 2 for Cross-Frequency Time Series Meta-Forecasting
Figure 3 for Cross-Frequency Time Series Meta-Forecasting
Figure 4 for Cross-Frequency Time Series Meta-Forecasting
Viaarxiv icon

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

Apr 16, 2021
Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger, Cedric Archambeau

Figure 1 for Overfitting in Bayesian Optimization: an empirical study and early-stopping solution
Figure 2 for Overfitting in Bayesian Optimization: an empirical study and early-stopping solution
Figure 3 for Overfitting in Bayesian Optimization: an empirical study and early-stopping solution
Figure 4 for Overfitting in Bayesian Optimization: an empirical study and early-stopping solution
Viaarxiv icon

Amazon SageMaker Autopilot: a white box AutoML solution at scale

Dec 16, 2020
Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Lienart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias Seeger, Bhaskar Dutt, Laurence Rouesnel

Figure 1 for Amazon SageMaker Autopilot: a white box AutoML solution at scale
Figure 2 for Amazon SageMaker Autopilot: a white box AutoML solution at scale
Figure 3 for Amazon SageMaker Autopilot: a white box AutoML solution at scale
Figure 4 for Amazon SageMaker Autopilot: a white box AutoML solution at scale
Viaarxiv icon

Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization

Dec 15, 2020
Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias Seeger, Cédric Archambeau

Figure 1 for Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization
Figure 2 for Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization
Figure 3 for Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization
Figure 4 for Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization
Viaarxiv icon

A Copula approach for hyperparameter transfer learning

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

Figure 1 for A Copula approach for hyperparameter transfer learning
Figure 2 for A Copula approach for hyperparameter transfer learning
Figure 3 for A Copula approach for hyperparameter transfer learning
Figure 4 for A Copula approach for hyperparameter transfer learning
Viaarxiv icon

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

Figure 1 for Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Figure 2 for Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Figure 3 for Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Figure 4 for Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Viaarxiv icon