We show that approximate maximum likelihood inference can be achieved via a variational algorithm for which gradient descent easily applies. We show that this setting enables us to account for ...

Yoshihiro Tawada proposes using variational inference – a technique widely used in machine learning – to obtain foreign exchange implied volatilities with nonlinear constraints for strike-order ...

David M. Blei, John D. Lafferty, A Correlated Topic Model of Science, The Annals of Applied Statistics, Vol. 1, No. 1 (Jun., 2007), pp. 17-35 ...

MicroAlgo's classifier auto-optimization technology, based on variational quantum algorithms, successfully reduces the computational complexity of parameter updates through deep optimization of ...