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Luigi Carratino

Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times

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Jan 30, 2022
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Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

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Jan 17, 2022
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Mean Nyström Embeddings for Adaptive Compressive Learning

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Oct 21, 2021
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ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions

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Jun 23, 2021
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Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization

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Jun 16, 2021
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Kernel methods through the roof: handling billions of points efficiently

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Jun 18, 2020
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On Mixup Regularization

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Jun 10, 2020
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Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification

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Feb 26, 2020
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Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret

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Mar 13, 2019
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Learning with SGD and Random Features

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Nov 01, 2018
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