2019
Dynamic Local Regret for Non-convex Online Forecasting
NeurIPS 2019poster
We consider online forecasting problems for non-convex machine learning models. Forecasting introduces several challenges such as (i) frequent updates are necessary to deal with concept drift issues since the dynamics of the environment change over time, and (ii) the state of the art models are non-…