Machine learning practitioners invest significant manual and computation...
This paper considers the problem of computing Bayesian estimates of both...
This paper considers parameter estimation for nonlinear state-space mode...
We present the elliptical processes-a new family of stochastic processes...
We present an approach to designing neural network based models that wil...
In this paper we present a novel quasi-Newton algorithm for use in stoch...
We address the problem of inferring the causal effect of an exposure on ...
During recent years there has been an increased interest in stochastic
a...
We provide a numerically robust and fast method capable of exploiting th...