activity
20172019
most citedThe reparameterization trick for acquisition functions

40 citations · 56 across the 2 of their papers we have counts for

collaborators

5 papers

gr-qc2019

WKB Approximation for the Polymer Quantization of the Taub Model

Valerio Cascioli, Giovanni Montani, Riccardo Moriconi

We develop a suitable technical algorithm to implement a separation of the Minisuperspace configurational variables into quasi-classical and purely quantum degrees of freedom, in t…

stat.ML2019

High-dimensional Bayesian optimization using low-dimensional feature spaces

Riccardo Moriconi, Marc P. Deisenroth, K. S. Sesh Kumar

Bayesian optimization (BO) is a powerful approach for seeking the global optimum of expensive black-box functions and has proven successful for fine tuning hyper-parameters of mach…

gr-qc2018

Bianchi I model as a prototype for a cyclical Universe

Giovanni Montani, Andrea Marchi, Riccardo Moriconi

We analyze the dynamics of the Bianchi I model in the presence of stiff matter, an ultrarelativistic component and a small negative cosmological constant. We quantize this model in…

stat.ML201740 cited

The reparameterization trick for acquisition functions

James T. Wilson, Riccardo Moriconi, Frank Hutter +1

Bayesian optimization is a sample-efficient approach to solving global optimization problems. Along with a surrogate model, this approach relies on theoretically motivated value he…

gr-qc201716 cited

Behavior of the Universe anisotropy in a big-bounce cosmology

Riccardo Moriconi, Giovanni Montani

We investigate the classical and quantum behavior of a Bianchi I model in the presence of a stiff matter contribution when the Vilenkin interpretation of the wave function of the U…