Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …

Stated preference elicitation methods collect data on consumers by" just asking" about
tastes, perceptions, valuations, attitudes, motivations, life satisfactions, and/or intended …

In this paper, we consider the price effects of risk disclosure. We develop a model in which
investors are uncertain about the variance of a firm's cash flows and the firm releases an …

The availability of quantum annealing devices with hundreds of qubits has made the
experimental demonstration of a quantum speedup for optimization problems a coveted …

The Tactile Internet promises new applications and services that harness real-time human-
machine interactions to revolutionize our everyday life. Its realization however, necessitates …

The objective of this paper is to investigate which approach would lead to more reliable
CubeSats: full subsystem redundancy or improved testing. Based on data from surveys, the …

Over the last few decades, various methods have been proposed for estimating prediction
intervals in regression settings, including Bayesian methods, ensemble methods, direct …

Animal social networks are often constructed from point estimates of edge weights. In many
contexts, edge weights are inferred from observational data, and the uncertainty around …

Driven by legislative pressures, an increasing number of manufacturing companies have
been implementing comprehensive recycling and remanufacturing programs. The accurate …

In this study, we introduce the payload optimization method for federated recommender
systems (FRS). In federated learning (FL), the global model payload that is moved between …