DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression

16 April 2016

Parameswaran Raman

Papers citing "DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression"

4 / 4 papers shown

Title
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data Hyokun Yun Parameswaran Raman S.V.N. Vishwanathan 106 28 0 11 Feb 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 165 6,635 0 22 Dec 2012
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 197 2,203 0 24 Jun 2012
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 216 2,273 0 28 Jun 2011