Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for S. V. N. Vishwanathan

S. V. N. Vishwanathan

Purdue University

DS-FACTO: Doubly Separable Factorization Machines


Apr 29, 2020
Parameswaran Raman, S. V. N. Vishwanathan


  Access Paper or Ask Questions

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


Aug 03, 2018
Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan


  Access Paper or Ask Questions

Extreme Stochastic Variational Inference: Distributed and Asynchronous


Aug 03, 2018
Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S. V. N. Vishwanathan, Inderjit S. Dhillon


  Access Paper or Ask Questions

Batch-Expansion Training: An Efficient Optimization Framework


Feb 23, 2018
Michał Dereziński, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer


  Access Paper or Ask Questions

Online Learning of Combinatorial Objects via Extended Formulation


Oct 30, 2017
Holakou Rahmanian, David P. Helmbold, S. V. N. Vishwanathan


  Access Paper or Ask Questions

WordRank: Learning Word Embeddings via Robust Ranking


Sep 27, 2016
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan

* Conference on Empirical Methods in Natural Language Processing (EMNLP), November 1-5, 2016, Austin, Texas, USA 

  Access Paper or Ask Questions

BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies


Mar 31, 2016
Shihao Ji, S. V. N. Vishwanathan, Nadathur Satish, Michael J. Anderson, Pradeep Dubey

* Published as a conference paper at ICLR 2016 

  Access Paper or Ask Questions

Distributed Stochastic Optimization of the Regularized Risk


Jun 09, 2015
Shin Matsushima, Hyokun Yun, Xinhua Zhang, S. V. N. Vishwanathan


  Access Paper or Ask Questions

Totally Corrective Boosting with Cardinality Penalization


Apr 07, 2015
Vasil S. Denchev, Nan Ding, Shin Matsushima, S. V. N. Vishwanathan, Hartmut Neven


  Access Paper or Ask Questions

Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data


Aug 21, 2014
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan


  Access Paper or Ask Questions

DFacTo: Distributed Factorization of Tensors


Jun 17, 2014
Joon Hee Choi, S. V. N. Vishwanathan

* Under review for NIPS 2014 

  Access Paper or Ask Questions

The Structurally Smoothed Graphlet Kernel


Mar 03, 2014
Pinar Yanardag, S. V. N. Vishwanathan


  Access Paper or Ask Questions

Modeling Attractiveness and Multiple Clicks in Sponsored Search Results


Jan 01, 2014
Dinesh Govindaraj, Tao Wang, S. V. N. Vishwanathan


  Access Paper or Ask Questions

Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process


Feb 28, 2012
Hyokun Yun, S. V. N. Vishwanathan


  Access Paper or Ask Questions

Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs


Feb 09, 2012
Hyokun Yun, S. V. N. Vishwanathan


  Access Paper or Ask Questions

Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties


Feb 04, 2011
Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan, Yuan Qi

* 25 pages, 2 figures 

  Access Paper or Ask Questions

Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies


Nov 01, 2010
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan

* 28 pages. Supplementary material for NIPS 2010 paper "Lower Bounds on Rate of Convergence of Cutting Plane Methods" by the same authors 

  Access Paper or Ask Questions

New Approximation Algorithms for Minimum Enclosing Convex Shapes


Sep 15, 2010
Ankan Saha, S. V. N. Vishwanathan, Xinhua Zhang

* 18 Pages Accepted in SODA 2011 

  Access Paper or Ask Questions

Faster Rates for training Max-Margin Markov Networks


Mar 06, 2010
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan

* 14 pages Submitted to COLT 2010 

  Access Paper or Ask Questions

A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning


Feb 22, 2010
Jin Yu, S. V. N. Vishwanathan, Simon Guenter, Nicol N. Schraudolph

* Journal of Machine Learning Research 11(Mar):1145-1200, 2010 

  Access Paper or Ask Questions

Lower Bounds for BMRM and Faster Rates for Training SVMs


Sep 08, 2009
Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan

* 21 pages, 49 figures 

  Access Paper or Ask Questions

Graph Kernels


Jul 01, 2008
S. V. N. Vishwanathan, Karsten M. Borgwardt, Imre Risi Kondor, Nicol N. Schraudolph

* Journal of Machine Learning Research 11 (Apr): 1201-1242, 2010 
* http://jmlr.csail.mit.edu/papers/v11/vishwanathan10a.html 

  Access Paper or Ask Questions