Zobrazeno 1 - 10
of 1 629
pro vyhledávání: '"Van Parys, A."'
We establish a connection between distributionally robust optimization (DRO) and classical robust statistics. We demonstrate that this connection arises naturally in the context of estimation under data corruption, where the goal is to construct ``mi
Externí odkaz:
http://arxiv.org/abs/2410.14008
We present our collaboration with Thales Canada Inc, the largest provider of communication-based train control (CBTC) systems worldwide. We study the problem of designing energy-optimal timetables in metro railway networks to minimize the effective e
Externí odkaz:
http://arxiv.org/abs/2309.05489
In data-driven optimization, sample average approximation (SAA) is known to suffer from the so-called optimizer's curse that causes an over-optimistic evaluation of the solution performance. We argue that a special type of distributionallly robust op
Externí odkaz:
http://arxiv.org/abs/2306.14041
We propose a data-driven technique to automatically learn the uncertainty sets in robust optimization. Our method reshapes the uncertainty sets by minimizing the expected performance across a family of problems subject to guaranteeing constraint sati
Externí odkaz:
http://arxiv.org/abs/2305.19225
Simulations of high-density deuterium plasmas in a lower single-null magnetic configuration based on a TCV discharge are presented. We evolve the dynamics of three charged species (electrons, D$^{+}$ and D$_{2}^{+}$), interacting with two neutrals sp
Externí odkaz:
http://arxiv.org/abs/2304.09687
Recent work have demonstrated that robustness (to "corruption") can be at odds with generalization. Adversarial training, for instance, aims to reduce the problematic susceptibility of modern neural networks to small data perturbations. Surprisingly,
Externí odkaz:
http://arxiv.org/abs/2303.02251
Autor:
Shireen Shehzad Bhamani, An-Sofie Van Parys, David Arthur, Nicole Letourneau, Gail Wagnild, Olivier Degomme
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background The negative impact of adverse perinatal mental health extends beyond the mother and child; therefore, it is essential to make an early intervention for the management of mental illness during pregnancy. Resilience-building interv
Externí odkaz:
https://doaj.org/article/f9c335607d2d4fb38a193297b5ec2602
Autor:
Willem Daneels, Alexander Van Parys, Leander Huyghe, Elke Rogge, Steffi De Rouck, Ruben Christiaen, Lennart Zabeau, Sylvie Taveirne, Jo Van Dorpe, Niko Kley, Anje Cauwels, Erik Depla, Jan Tavernier, Fritz Offner
Publikováno v:
Experimental Hematology & Oncology, Vol 13, Iss 1, Pp 1-20 (2024)
Abstract Type I interferon (IFN) is a potent antitumoral drug, with an important history in the treatment of hematologic malignancies. However, its pleiotropic nature leads to severe dose-limiting toxicities that blunt its therapeutic potential. To a
Externí odkaz:
https://doaj.org/article/c7a5f686a979439ab7a58e3892219770
Robust optimization is a tractable and expressive technique for decision-making under uncertainty, but it can lead to overly conservative decisions when pessimistic assumptions are made on the uncertain parameters. Wasserstein distributionally robust
Externí odkaz:
http://arxiv.org/abs/2207.10820
Autor:
Bennouna, Amine, Van Parys, Bart
The design of data-driven formulations for machine learning and decision-making with good out-of-sample performance is a key challenge. The observation that good in-sample performance does not guarantee good out-of-sample performance is generally kno
Externí odkaz:
http://arxiv.org/abs/2207.09560