We investigate the problem of discovering and modeling regime shifts in an ecosystem comprising multiple time series known as co-evolving series. Regime refer to changing behaviors exhibited by at different intervals. Learning these is a key step toward forecasting. While advances have been made, existing methods suffer from one or more following shortcomings: (1) failure take relationships bet...