Bidder Optimal Assignments for General Utilities

Publications associées (25)

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A general framework for the integration of complex choice models into mixed integer optimization

Meritxell Pacheco Paneque

The objective of this thesis is to develop a general methodology to incorporate a disaggregate demand representation in supply-oriented optimization problems that allows to capture the interplay between the behavior of individuals and the decisions to be o ...

EPFL2020

Balancing management of strategic aggregators using non-cooperative game theory

Sidi-Rachid Cherkaoui, Mokhtar Bozorg, Mohammad Rayati

The aggregators are intermediary players at the distribution system level. They manage the financial transactions of resources such as micro-turbines (MTs), photo-voltaic (PV) production systems, flexible demands (FDs), and must-run demands (MDs) in the en ...

Elsevier2020

Scheduling trips through a bottleneck: monotonicity and stability

Nikolaos Geroliminis, Raphael Ali Francis Lamotte

This paper investigates the stability of departure time choice within a population of commuters that need to pass through a bottleneck of constant capacity. It is shown that the corresponding utility function is monotonic if and only if the marginal utilit ...

2019

On (The Lack Of) Location Privacy in Crowdsourcing Applications

Carmela González Troncoso, Mathias Jacques Jean-Marc Humbert

Crowdsourcing enables application developers to benefit from large and diverse datasets at a low cost. Specifically, mobile crowdsourcing (MCS) leverages users' devices as sensors to perform geo-located data collection. The collection of geo-located data r ...

USENIX ASSOC2019

Weak teachers: assisted specification of discrete choice models using ensemble learning algorithms

Timothy Michael Hillel

Discrete Choice Models (DCMs) have a distinct advantage over Machine Learning (ML) classification algorithms, in that they employ a highly interpretable linear structure. However, a key drawback of DCMs compared to ML is the need to specify the utility fun ...

2019

Quantification of the conditional value of SHM data for the fatigue safety evaluation of a road viaduct

Eugen Brühwiler, Imane Bayane

Fatigue safety verification of existing bridges that uses ‘‘re-calculation’’ based on codes, usually results in insufficient fatigue safety, triggering invasive interventions. Instead of “re-calculation”, Structural Health Monitoring (SHM) should be used f ...

2019

Privacy in Recommender Systems

Mahsa Taziki

The upsurge in the number of web users over the last two decades has resulted in a significant growth of online information. Recommenders are machine learning approach and are becoming one of the main ways to navigate the Internet. They recommend appropria ...

EPFL2018

Measurement system design for civil infrastructure using expected utility

Ian Smith, James-Alexandre Goulet, Romain Pasquier

For system identification, most sensor-placement strategies are based on the minimization of the model-parameter uncertainty. However, reducing the uncertainty in remaining-life prognosis of structures is often more relevant. This paper proposes an optimiz ...

Elsevier2017

Equilibrium analysis in multi-echelon supply chain with multi-dimensional utilities of inertial players

Naoufel Cheikhrouhou, Matthias Gurtner, Gajanan Bhanudas Panchal

In a supply chain, the importance of information elicitation from the supply chain players is vital to design supply chain network. The rationality and self-centredness of these players causes the information asymmetry in the supply chain and thus situatio ...

Palgrave Macmillan Ltd2017

The creativity trap : semantic and pragmatic study of creative capitalism

Mischa-Sébastien Piraud

The urban order has fashioned a new grammar. In literal terms, the theories of the creative class, creative economy and creative city function as a unit that is both descriptive and prescriptive; they have the advantage of taking into account the utility o ...

Revues Org2017

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