Results 11 to 20 of about 2,734,080 (302)
Pareto adversarial robustness: balancing spatial robustness and sensitivity-based robustness [PDF]
Science China Information SciencesAdversarial robustness, which primarily comprises sensitivity-based robustness and spatial robustness, plays an integral part in achieving robust generalization. In this paper, we endeavor to design strategies to achieve universal adversarial robustness.
Ke Sun 0013 +2 more
openaire +4 more sources
Network robustness: Implication, formulization and exploitation [PDF]
Network Biology, 2016 Robustness refers to a system's capacity for maintaining some performance when the system's internal structure is perturbed. In previous study, network robustness, i.e., network structure robustness, includes both resistance capacity (connection ...
WenJun Zhang
doaj +1 more source
Lévy Models Robustness and Sensitivity [PDF]
Quantum Probability and Infinite Dimensional Analysis, 2010 We study the robustness of the sensitivity with respect to parameters in expec- tation functionals with respect to various approximations of a Levy process. As sensitivity parameter, we focus on the delta of an European option as the deriva- tive of the option price with respect to the current value of the underlying asset.
Fred Espen Benth +2 more
openaire +2 more sources
Editorial: Robust Sensitivities [PDF]
American Journal of Epidemiology, 2021 In this issue, the paper by Lash et al, separate commentaries by Greenland and Gustafson, and rejoinder by Lash et al comprise a rare and important example of extended scientific discourse. This set of papers discusses current use of sensitivity analysis, particularly quantitative bias analysis, in the field of Epidemiology.
Catherine R, Lesko +2 more
openaire +2 more sources
Counterfactual Sensitivity and Robustness
Econometrica, 2023 We propose a framework for analyzing the sensitivity of counterfactuals to parametric assumptions about the distribution of latent variables in structural models. In particular, we derive bounds on counterfactuals as the distribution of latent variables spans nonparametric neighborhoods of a given parametric specification while other “structural ...
Christensen, Timothy, Connault, Benjamin
openaire +3 more sources
Quantum Risk-Sensitive Estimation and Robustness [PDF]
IEEE Transactions on Automatic Control, 2009 This paper studies a quantum risk-sensitive estimation problem and investigates robustness properties of the filter. This is a direct extension to the quantum case of analogous classical results. All investigations are based on a discrete approximation model of the quantum system under consideration.
Naoki Yamamoto, Luc Bouten
openaire +4 more sources
Robustness test: Sensitivity test.
, 2022 Robustness test: Sensitivity test.
Jingyi Mu (12496231) +3 more
core +1 more source
Robustness from flexibility in the fungal circadian clock [PDF]
, 2010 Background Robustness is a central property of living systems, enabling function to be maintained against environmental perturbations. A key challenge is to identify the structures in biological circuits that confer system-level properties such as ...
Andrew J Millar +11 more
core +1 more source
Consistent robustness analysis (CRA) identifies biologically relevant properties of regulatory network models [PDF]
, 2010 A number of studies have previously demonstrated that "goodness of fit" is insufficient in reliably classifying the credibility of a biological model. Robustness and/or sensitivity analysis is commonly employed as a secondary method for evaluating the ...
Andrew J Millar +15 more
core +1 more source
Journal of Causal Inference, 2023 A key objective of decomposition analysis is to identify a factor (the “mediator”) contributing to disparities in an outcome between social groups. In decomposition analysis, a scholarly interest often centers on estimating how much the disparity (e.g ...
Park Soojin +3 more
doaj +1 more source