5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2010★ 5 cited
Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
Nesterov's accelerated gradient methods (AGM) have been successfully applied in many machine learning areas. However, their empirical performance on training max-margin models has…
cs.LG2009★ 2 cited
Lower Bounds for BMRM and Faster Rates for Training SVMs
Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan
Regularized risk minimization with the binary hinge loss and its variants lies at the heart of many machine learning problems. Bundle methods for regularized risk minimization (BMR…