In recent years, bilevel approaches have become very popular to efficien...
In the context of finite sums minimization, variance reduction technique...
In this work we study high probability bounds for stochastic subgradient...
We analyze a general class of bilevel problems, in which the upper-level...
In this paper, we study the convergence properties of a randomized
block...
In this work we propose a batch version of the Greenkhorn algorithm for
...
Bilevel optimization problems are receiving increasing attention in mach...
We study a general class of bilevel problems, consisting in the minimiza...
Recently, classical kernel methods have been extended by the introductio...
We present a novel algorithm to estimate the barycenter of arbitrary
pro...
In (Franceschi et al., 2018) we proposed a unified mathematical framewor...
We introduce a framework based on bilevel programming that unifies
gradi...
In many applications of finance, biology and sociology, complex systems
...
In this paper, we discuss how a suitable family of tensor kernels can be...
In this paper we study the variational problem associated to support vec...