We study the problem of transfer learning, observing that previous effor...
Missing time-series data is a prevalent problem in finance. Imputation
m...
Missing time-series data is a prevalent practical problem. Imputation me...
We consider the parameter estimation problem of a probabilistic generati...
This paper shows that dropout training in Generalized Linear Models is t...
We consider stochastic gradient estimation using noisy black-box functio...
Biased stochastic estimators, such as finite-differences for noisy gradi...
The causal discovery of Bayesian networks is an active and important res...