38 citations · 90 across the 10 of their papers we have counts for
Showing 2010 · cs.LGShow all
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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.LG2010★ 26 cited
On the Finite Time Convergence of Cyclic Coordinate Descent Methods
Ankan Saha, Ambuj Tewari
Cyclic coordinate descent is a classic optimization method that has witnessed a resurgence of interest in machine learning. Reasons for this include its simplicity, speed and stabi…
cs.LG2010★ 1 cited
Faster Rates for training Max-Margin Markov Networks
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (\mcn) is an effective approach. All state-of-t…