no code implementations • 1 Sep 2014 • Andre R. Goncalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee
We illustrate the effectiveness of the proposed model on a variety of synthetic and benchmark datasets for regression and classification.
no code implementations • NeurIPS 2014 • Soumyadeep Chatterjee, Sheng Chen, Arindam Banerjee
For statistical analysis, we provide upper bounds for the Gaussian widths needed in the GDS analysis, yielding the first statistical recovery guarantee for estimation with the $k$-support norm.