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Matthias Seeger

Ecole Polytechnique Federale de Lausanne

Explaining Probabilistic Models with Distributional Values

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Feb 15, 2024
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Optimizing Hyperparameters with Conformal Quantile Regression

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May 05, 2023
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Fortuna: A Library for Uncertainty Quantification in Deep Learning

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Feb 08, 2023
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Meta-Forecasting by combining Global Deep Representations with Local Adaptation

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Nov 12, 2021
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A Nonmyopic Approach to Cost-Constrained Bayesian Optimization

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Jun 10, 2021
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Overfitting in Bayesian Optimization: an empirical study and early-stopping solution

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Apr 16, 2021
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BORE: Bayesian Optimization by Density-Ratio Estimation

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Feb 17, 2021
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Amazon SageMaker Autopilot: a white box AutoML solution at scale

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Dec 16, 2020
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Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization

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Dec 15, 2020
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Model-based Asynchronous Hyperparameter Optimization

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Mar 24, 2020
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