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S. V. N. Vishwanathan

Associate Professor

Statistics and Computer Science, Purdue University

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Scaling Multinomial Logistic Regression via Hybrid Parallelism

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

pp.1460-1470 (2019)

Cited by4EIBibtex

Whole Page Optimization with Global Constraints

Weicong Ding,Dinesh Govindaraj,S V N Vishwanathan

pp.3153-3161 (2019)

EIBibtex

Online Learning of Combinatorial Objects via Extended Formulation

Holakou Rahmanian,David P. Helmbold,S. V. N. Vishwanathan

ALT, pp.702-724, (2018)

Cited by2EIBibtex

Batch-Expansion Training: An Efficient Optimization Framework

Michal Derezinski,Dhruv Mahajan,S. Sathiya Keerthi,S. V. N. Vishwanathan,Markus Weimer

AISTATS, pp.736-744, (2018)

EIBibtex

Colors $-$Messengers of Concepts: Visual Design Mining for Learning Color Semantics

Ali Jahanian 0002,S. V. N. Vishwanathan,Jan P. Allebach

ACM Transactions on Computer-Human Interaction (TOCHI), no. 1 (2017)

Cited by23EIBibtex

Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem

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

Lecture Notes in Artificial Intelligence, (2017): 460-476

Cited by1EIBibtex

Modeling Attractiveness and Multiple Clicks in Sponsored Search Results

Dinesh Govindaraj,Tao Wang,S. V. N. Vishwanathan

arXiv: Information Retrieval, (2014)

Cited by10EIBibtex

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