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Valerio Perrone

Hyperparameter Optimization in Machine Learning

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Oct 30, 2024
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Structural Pruning of Pre-trained Language Models via Neural Architecture Search

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May 03, 2024
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A Simple and Fast Baseline for Tuning Large XGBoost Models

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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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A multi-objective perspective on jointly tuning hardware and hyperparameters

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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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Lexical semantic change for Ancient Greek and Latin

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Jan 22, 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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Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization

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Nov 24, 2020
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