Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Garatti, Simone"'
Autor:
Campi, Marco C., Garatti, Simone
Publikováno v:
Journal of Machine Learning Research, 24(339):1-74, 2023
A compression function is a map that slims down an observational set into a subset of reduced size, while preserving its informational content. In multiple applications, the condition that one new observation makes the compressed set change is interp
Externí odkaz:
http://arxiv.org/abs/2301.12767
We consider a multi-agent optimal resource sharing problem that is represented by a linear program. The amount of resource to be shared is fixed, and agents belong to a population that is characterized probabilistically so as to allow heterogeneity a
Externí odkaz:
http://arxiv.org/abs/2109.13580
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines
Autor:
Campi, Marco C., Garatti, Simone
Publikováno v:
Journal of Machine Learning Research 22(288):1-38, 2021
In this paper we consider optimization with relaxation, an ample paradigm to make data-driven designs. This approach was previously considered by the same authors of this work in Garatti and Campi (2019), a study that revealed a deep-seated connectio
Externí odkaz:
http://arxiv.org/abs/2004.05839
We deal with the problem of energy management in buildings subject to uncertain occupancy. To this end, we formulate this as a finite horizon optimization program and optimize with respect to the windows' blinds position, radiator and cooling flux. A
Externí odkaz:
http://arxiv.org/abs/1911.06733
This paper introduces a new computational framework to account for uncertainties in day-ahead electricity market clearing process in the presence of demand response providers. A central challenge when dealing with many demand response providers is th
Externí odkaz:
http://arxiv.org/abs/1711.11441
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Autor:
Belluschi, Fabio, Falsone, Alessandro, Ioli, Daniele, Margellos, Kostas, Garatti, Simone, Prandini, Maria
This paper deals with energy management in a district where multiple buildings can communicate over a time-varying network and aim at optimizing the use of shared resources like storage systems. We focus on building cooling, and propose an iterative,
Externí odkaz:
http://arxiv.org/abs/1610.06332
We consider a stochastic linear system and address the design of a finite horizon control policy that is optimal according to some average cost criterion and accounts also for probabilistic constraints on both the input and state variables. This fini
Externí odkaz:
http://arxiv.org/abs/1610.06315
We consider a multi-agent system where each agent has its own estimate of a given quantity and the goal is to reach consensus on the average. To this purpose, we propose a distributed consensus algorithm that guarantees convergence to the average in
Externí odkaz:
http://arxiv.org/abs/1608.08358
We study distributed optimization in a cooperative multi-agent setting, where agents have to agree on the usage of shared resources and can communicate via a time-varying network to this purpose. Each agent has its own decision variables that should
Externí odkaz:
http://arxiv.org/abs/1607.00600