Results 71 to 80 of about 2,024 (222)
Robust multitask feature learning with adaptive Huber regressions
Abstract When data from multiple tasks have outlier contamination, existing multitask learning methods perform less efficiently. To address this issue, we propose a robust multitask feature learning method by combining the adaptive Huber regression tasks with mixed regularization. The robustification parameters can be chosen to adapt to the sample size,
Yuan Zhong, Xin Gao, Wei Xu
wiley +1 more source
Dense subdifferentiability and trustworthiness for arbitrary subdifferentials
We show that the properties of dense subdifferentiability and of trustworthiness are equivalent for any subdifferential satisfying a small set of natural axioms. The proof relies on a remarkable property of the subdifferential of the inf-convolution of two (non necessarily convex) functions.
Jules, Florence, Lassonde, Marc
openaire +2 more sources
Learning in random utility models via online decision problems
Abstract This paper examines the Random Utility Model (RUM) in repeated stochastic choice settings where decision‐makers lack full information about payoffs. We propose a gradient‐based learning algorithm that embeds RUM into an online decision‐making framework.
Emerson Melo
wiley +1 more source
Subdifferential of the Cost Function
\textit{R. T. Rockafellar} [Nonlinear Anal., Theory, Methods Appl. 3, 145- 154 (1979; Zbl 0443.26010)] has proved the relation (a certain inclusion) between the subdifferential of the cost function and the Ioffe normal cone of the production set. The author studies the Lipschitz and differential properties of the cost function and gives assumptions to ...
openaire +1 more source
Conformal optimization of eigenvalues on surfaces with symmetries
Abstract Given a conformal action of a discrete group on a Riemann surface, we study the maximization of Laplace and Steklov eigenvalues within a conformal class, considering metrics invariant under the group action. We establish natural conditions for the existence and regularity of maximizers. Our method simplifies the previously known techniques for
Denis Vinokurov
wiley +1 more source
In convex programming, characterizations of the solution set in terms of the subdifferential have been investigated by Mangasarian. An invariance property of the subdifferential of the objective function is studied, and as a consequence ...
Kuroiwa, Daishi, Suzuki, Satoshi
core +2 more sources
A viability result for second-order differential inclusions
We prove a viability result for the second-order differential inclusion $$ x''in F(x,x'),quad (x(0), x'(0))=(x_0,y_0)in Q:=Kimes Omega, $$ where $K$ is a closed and $Omega$ is an open subsets of $mathbb{R}^m$, and is an upper semicontinuous set-valued ...
Vasile Lupulescu
doaj
Some properties of the weak subdifferential
Some properties of the weak subdifferential is considered in this paper. By using definitioan and properties of the weak subdifferential which described in the papers [1, 2, 3], the author prove some theorem connectiong weak subdifferential in nonsmooth ...
Gurbuz, E., Sengul, M., Maharramov, S.F.
core
Continuity of the approximate subdifferential
The continuity of the approximate subdifferential of a closed proper convex function on a Banach space is shown to be valid on the whole domain of the ...
Penot, Jean-Paul, Contesse, Luis
core +1 more source
In this article, we study the existence of an infinite number of subharmonic periodic solutions to a class of second-order neutral nonlinear functional differential equations.
Xiao-Bao Shu, Yongzeng Lai, Fei Xu
doaj

