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Concept

Conditional variance

Related publications (4)

Stochastic distributed learning with gradient quantization and double-variance reduction

Sebastian Urban Stich

We consider distributed optimization over several devices, each sending incremental model updates to a central server. This setting is considered, for instance, in federated learning. Various schemes have been designed to compress the model updates in orde ...

TAYLOR & FRANCIS LTD2022

Sample and population exponents of generalized Taylor's law

Andrea Rinaldo, Amos Maritan, Andrea Giometto

Taylor's law (TL) states that the variance V of a nonnegative random variable is a power function of its mean M; i.e., V = aM(b). TL has been verified extensively in ecology, where it applies to population abundance, physics, and other natural sciences. It ...

National Academy of Sciences2015

Gait disturbances as specific predictive markers of the first fall onset in elderly people: a two-year prospective observational study

Jean-Baptiste Mignardot

Falls are common in the elderly, and potentially result in injury and disability. Thus, preventing falls as soon as possible in older adults is a public health priority, yet there is no specific marker that is predictive of the first fall onset. We hypothe ...

Frontiers Research Foundation2014

Development of probability distributions for regional climate change from uncertain global mean warming and an uncertain scaling relationship

Abdelkader Mezghani

A method is presented to produce probability distributions for regional climate change in surface temperature and precipitation. The method combines a probability distribution for global mean temperature increase with the probability distributions for the ...

2007