SIMULE learns multiple sparse UGMs from aggregated data, identifying context-specific and shared interactions.
problem Jointly estimating multiple sparse UGMs from aggregated samples across different contexts.
method Constrained L1 minimization approach for multi-UGM learning.
result SIMULE achieves consistent results at rate O(log(Kp)/n_{tot}) and significantly improves over state-of-the-art methods.