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convergence of the tiebreaked maximum weight matching. This convergence generalizes to a larger class of optimization defined. We study the asymptotic geometric behavior of this optimum in particular we show that the optimum converges locally to a matching on the limiting object of the graph called the unimodular Bienaymé Galton Watson configuration graphs. This work is a continuation of the objective method introduced by D. Aldous in 2000
fairness seeks to ensure an equitable distribution of predictions or algorithmic decisions across different straightforward it simply requires that the distribution of outcomes is identical across all sensitive groups where the prediction function cannot make direct use of the sensitive attribute thus individuals are not factors . In a regression setting we solve the problem of finding the optimal unaware prediction function satisfying transport problem and exhibit relevant properties of the associated prediction function.
same issue the lack of a canonical ordering. A recent concept is based on the theory of optimal transportation function its lower-tail counterpart. These are averages of quantiles beyond or ahead a certain level which in multivariate tail probabilities and central areas of point clouds respectively. We will show that they to risk measurement with multivariate definitions of Value-at-Risk and Conditional-Value-at-Risk.
qualities of modernist writing by examining writers whose view of the cities considered is that of migrants couverture This innovative book examines the development of modernist writing in four European cities London these cities it draws upon contemporary theories of affect and literary geography. Particular attention
numerous books of poetry and prose. Performance venues include the Getty Villa Los Angeles Museum of Modern Art Art New York Museum of Contemporary Art Los Angeles Detroit Museum of Contemporary Art Mestno Musej Ljubljana Center Schindler House Los Angeles Denver Museum of Contemporary Art the Broad Museum East Lansing MI
present some of my previous empirical findings with the experimental method and the validation of the more way spatial context influences people s evaluation of objects. I study how people evaluate objects located where objects influence other objects as a function of distance. For instance I blend evaluative judgment nice public park - influence people s evaluation of the surroundings. The resulting model can predict
feature set of their iterated integrals called the signature. After a general overview of signatures in sequential or functional data arise in many fields of research such as quantitative finance medicine or infinite series. Therefore we define an estimator of the truncation order and provide theoretical guarantees both simulated and real-world data the advantage of a signature-based regression model compared to traditional
talk I will describe a few examples of KCLGs and describe some of the mathematical challenges they offer evolution of their microscopic structure. I will also give some heuristic arguments to explain some of these Kinetically Constrained Models KCM and offer a range of toy models for phase transitions and interfaces progression
Résumé The model of directed polymer in random environment describes a perturbation of the simple random random environment disorder . The partition functions of this model have been throughly investigated in recent years also motivated by their link with the solution of the Stochastic Heat Equation. In this talk we focus Francesco Caravenna and Maurizia Rossi University of Milano-Bicocca .
