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We focus on the privacy-accuracy tradeoff encountered by a user who wishes to release some data to an analyst, that is correlated with his private data, in the hope of receiving some utility. We rely on a general statistical inference framework, under which data is distorted before its release, according to a probabilistic privacy mechanism designed under utility constraints. Using recent results...
We address the traffic light control problem by developing a Stochastic Flow Model (SFM) for an intersection and using a policy based on partial state information defined by detecting whether vehicle backlogs are above or below certain thresholds. Using Infinitesimal Perturbation Analysis (IPA), we derive online gradient estimators of an average traffic congestion metric with respect to the green...
In this paper we consider certain gradient and Hamiltonian flows on adjoint orbits that generalize the Toda lattice flow. The Toda lattice can be shown to be a gradient flow on a suitable orbit. Here we discuss related gradient flows and consider the generalization of the Toda lattice flow to the Toda rigid body flow.
We consider the use of non-homogeneous Markov chain (NHMC) models for wavelet transformations of hyperspectral signatures to generate features for signal processing purposes. Inspired by the use of hidden Markov trees for natural images, the NHMC model enables the characterization of absorption bands and other structural features of mineral spectra that are used by experts in tasks like classification...
Identifying the patient-zero of an epidemic outbreak, locating the person who started a rumor in a social network, finding the computer that initiated the spreading of a computer virus in a network- these are all applications of localizing the source of diffusion in a network. Since most of the networks of interest are very large, we are usually able to observe only a part of the network. In this...
A lot of interest has recently arisen in the analysis of multiple-choice “cuckoo hashing” schemes. In this context, a main performance criterion is the load threshold under which the hashing scheme is able to build a valid hashtable with high probability in the limit of large systems; various techniques have successfully been used to answer this question (differential equations, combinatorics, cavity...
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