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Francesco Archetti

A Bayesian approach for prompt optimization in pre-trained language models

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Dec 01, 2023
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Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels

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Dec 02, 2022
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BORA: Bayesian Optimization for Resource Allocation

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Oct 12, 2022
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Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization

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May 18, 2022
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Gamifying optimization: a Wasserstein distance-based analysis of human search

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Dec 12, 2021
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Risk Aware Optimization of Water Sensor Placement

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Mar 08, 2021
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MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs

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Feb 09, 2021
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Uncertainty quantification and exploration-exploitation trade-off in humans

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Feb 05, 2021
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Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization

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Jun 25, 2020
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Modelling Human Active Search in Optimizing Black-box Functions

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Mar 09, 2020
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