Výsledky vyhledávání - "Wicaksono, Damar"

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PMBO: Enhancing Black-Box Optimization through Multivariate Polynomial Surrogates

Autor: Schreiber, Janina, Batlle, Pau, Wicaksono, Damar, Hecht, Michael

We introduce a surrogate-based black-box optimization method, termed Polynomial-model-based optimization (PMBO). The algorithm alternates polynomial approximation with Bayesian optimization steps, using Gaussian processes to model the error between t

Externí odkaz: http://arxiv.org/abs/2403.07485

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Polynomial-Model-Based Optimization for Blackbox Objectives

Autor: Schreiber, Janina, Wicaksono, Damar, Hecht, Michael

For a wide range of applications the structure of systems like Neural Networks or complex simulations, is unknown and approximation is costly or even impossible. Black-box optimization seeks to find optimal (hyper-) parameters for these systems such

Externí odkaz: http://arxiv.org/abs/2309.00663

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Extraction of the frequency moments of spectral densities from imaginary-time correlation function data

Autor: Dornheim, Tobias, Wicaksono, Damar C., Suarez-Cardona, Juan E., Tolias, Panagiotis, Böhme, Maximilian, Moldabekov, Zhandos, Hecht, Michael, Vorberger, Jan

We introduce an exact framework to compute the positive frequency moments $M^{(\alpha)}(\mathbf{q})=\braket{\omega^\alpha}$ of different dynamic properties from imaginary-time quantum Monte Carlo data. As a practical example, we obtain the first five

Externí odkaz: http://arxiv.org/abs/2301.08444

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Multivariate Polynomial Regression of Euclidean Degree Extends the Stability for Fast Approximations of Trefethen Functions

Autor: Veettil, Sachin K. Thekke, Zheng, Yuxi, Acosta, Uwe Hernandez, Wicaksono, Damar, Hecht, Michael

We address classic multivariate polynomial regression tasks from a novel perspective resting on the notion of general polynomial $l_p$-degree, with total, Euclidean, and maximum degree being the centre of considerations. While ensuring stability is a

Externí odkaz: http://arxiv.org/abs/2212.11706

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