This project studies stochastic gradient descent (SGD) through the lens of stochastic processes and continuous-time dynamics. By comparing deterministic gradient descent (GD) with noisy SGD updates on ...

Abstract: Predictive Process Monitoring (PPM) aims to predict the future states of ongoing process instances. A primary objective is to accurately predict process outcomes while ensuring decision ...

Abstract: The formation of non-Gaussian random processes by using stochastic differential equations is described. Algorithms for the formation of scalar continuousvalued, vector and discrete processes ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...