Time Series

Counterfactual prediction under sequences of actions is a fundamental problem in decision-making. Existing methods in causal inference …

We focus on solving the univariate times series point forecasting problem using deep learning. We propose a deep neural architecture …

Can meta-learning discover generic ways of processing time series (TS) from a diverse dataset so as to greatly improve generalization …