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Concept

Compound interest

Related publications (26)

Distributed Learning in Non-Convex Environments-Part I: Agreement at a Linear Rate

Ali H. Sayed, Stefan Vlaski

Driven by the need to solve increasingly complex optimization problems in signal processing and machine learning, there has been increasing interest in understanding the behavior of gradient-descent algorithms in non-convex environments. Most available wor ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

The Identity of Entrepreneurs: Providing Conceptual Clarity and Future Directions

Anna Maria Wagenschwanz

Theidentity of entrepreneurs(IoE) has become a popular concept in entrepreneurship research, for example, to explain entrepreneurial behavior. Yet, despite growing interest in this topic, theoretical and terminological inconsistencies have hampered the dev ...

2021

Understanding and Mitigating Latency Variability of Latency-Critical Applications

Mia Primorac

A major theme of IT in the past decade has been the shift from on-premise hardware to cloud computing. Running a service in the public cloud is practical, because a large number of resources can be bought on-demand, but this shift comes with its own set of ...

EPFL2020

A term structure model for dividends and interest rates

Damir Filipovic, Sander Félix M Willems

Over the last decade, dividends have become a standalone asset class instead of a mere side product of an equity investment. We introduce a framework based on polynomial jump-diffusions to jointly price the term structures of dividends and interest rates. ...

2020

From synchrotrons for XFELs: the soft x-ray near-edge spectrum of the ESCA molecule

Christoph Bostedt

A predictive understanding of soft x-ray near-edge absorption spectra of small molecules is an enduring theoretical challenge and of current interest for x-ray probes of molecular dynamics. We report the experimental absorption spectrum for the electron sp ...

IOP Publishing2020

Computational pipeline to probe NaV1.7 gain-of-function variants in neuropathic painful syndromes

Stefano Zamuner

Applications of machine learning and graph theory techniques to neuroscience have witnessed an increased interest in the last decade due to the large data availability and unprecedented technology developments. Their employment to investigate the effect of ...

NATURE RESEARCH2020