In this work, we propose an efficient implementation of mixtures of experts distributional regression models which exploits robust estimation by using stochastic first-order optimization techniques with adaptive learning rate schedulers. We take advantage of the flexibility and scalability of...

Tourism produces 35 m tons of solid waste annually. For waste reduction efforts to be effective, empirical baseline measures of waste production and waste production patterns are needed. This study analyses the waste profiles of hotels and restaurants using national waste data. Results indicate...

In this work, we propose an efficient implementation of mixtures of experts distributional regression models which exploits robust estimation by using stochastic first-order optimization techniques with adaptive learning rate schedulers. We take advantage of the flexibility and scalability of...

The harmful tourist behaviour of taking a lot of food from a buffet, but not eating it all, remains under-researched. This study gains key insights into drivers of plate waste. Observational data show that: dinner buffets are worse than breakfast buffets; the latest breakfast serving time is...