Results 1 to 10 of about 26 (26)

A robust p-Center problem under pressure to locate shelters in wildfire context

EURO Journal on Computational Optimization, 2020
The location of shelters in different areas threatened by wildfires is one of the possible ways to reduce fatalities in a context of an increasing number of catastrophic and severe wildfires.
Marc Demange, Virginie Gabrel, MarcelA. Haddad, Cécile Murat   +3 more
doaj   +1 more source

Instability in deep learning – when algorithms cannot compute uncertainty quantifications for neural networks

European Journal of Applied Mathematics
In deep learning, interval neural networks are used to quantify the uncertainty of a pre-trained neural network. Suppose we are given a computational problem $P$ and a pre-trained neural network $\Phi _P$ that aims to solve $P$ .
Luca Eva Gazdag, Vegard Antun, Anders C. Hansen   +2 more
doaj   +1 more source

The mathematics of adversarial attacks in AI – why deep learning is unstable despite the existence of stable neural networks

European Journal of Applied Mathematics
The unprecedented success of deep learning (DL) makes it unchallenged when it comes to classification problems. However, it is well established that the current DL methodology produces universally unstable neural networks (NNs).
Alexander Bastounis, Anders Hansen, Verner Vlačić   +2 more
doaj   +1 more source

A new distributionally robust reward-risk model for portfolio optimization

Open Mathematics
A new distributionally robust ratio optimization model is proposed under the known first and second moments of the uncertain distributions. In this article, both standard deviation (SD) and conditional value-at-risk (CVaR) are used to measure the risk ...
Zhou Yijia, Xu Lijun
doaj   +1 more source

A CI-independent form of replicative inhibition: turn off of early replication of bacteriophage lambda. [PDF]

PLoS One, 2012
Hayes S, Horbay MA, Hayes C.
europepmc   +1 more source

A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions. [PDF]

J Optim Theory Appl
Dienstbier J, Liers F, Rolfes J.
europepmc   +1 more source

Distributionally Robust Stochastic Optimization with Wasserstein Distance

Mathematics of Operations Research, 2023
Rui Gao, Anton J Kleywegt
exaly  

Robust Markov Decision Processes: Beyond Rectangularity

Mathematics of Operations Research, 2023
Vineet Goyal, Julien Grand-Clement
exaly  

Distributionally Robust Markov Decision Processes and Their Connection to Risk Measures

Mathematics of Operations Research, 2022
Nicole Bäuerle, Alexander Glauner
exaly  

Essays on operations research in energy

Top, 2022
Juan M Morales, Salvador Pineda
exaly