S. V. N. Vishwanathan

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Amazon ∙ Purdue University ∙ A9.COM, INC ∙ University of California Santa Cruz

DS-FACTO: Doubly Separable Factorization Machines

Factorization Machines (FM) are powerful class of models that incorporat...
04/29/2020 ∙ by Parameswaran Raman, et al. ∙ 0 ∙ share

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A Zero Attention Model for Personalized Product Search

Product search is one of the most popular methods for people to discover...
08/29/2019 ∙ by Qingyao Ai, et al. ∙ 0 ∙ share

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An Efficient Bandit Algorithm for Realtime Multivariate Optimization

Optimization is commonly employed to determine the content of web pages,...
10/22/2018 ∙ by Daniel N Hill, et al. ∙ 0 ∙ share

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Extreme Stochastic Variational Inference: Distributed and Asynchronous

We propose extreme stochastic variational inference (ESVI), an asynchron...
05/31/2016 ∙ by Jiong Zhang, et al. ∙ 0 ∙ share

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

Scaling multinomial logistic regression to datasets with very large numb...
04/16/2016 ∙ by Parameswaran Raman, et al. ∙ 0 ∙ share

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

We propose BlackOut, an approximation algorithm to efficiently train mas...
11/21/2015 ∙ by Shihao Ji, et al. ∙ 0 ∙ share

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WordRank: Learning Word Embeddings via Robust Ranking

Embedding words in a vector space has gained a lot of attention in recen...
06/09/2015 ∙ by Shihao Ji, et al. ∙ 0 ∙ share

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

We propose RoBiRank, a ranking algorithm that is motivated by observing ...
02/11/2014 ∙ by Hyokun Yun, et al. ∙ 0 ∙ share

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Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process

We introduce a novel and efficient sampling algorithm for the Multiplica...
02/27/2012 ∙ by Hyokun Yun, et al. ∙ 0 ∙ share

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Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs

We describe the first sub-quadratic sampling algorithm for the Multiplic...
10/24/2011 ∙ by Hyokun Yun, et al. ∙ 0 ∙ share

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Lower Bounds for BMRM and Faster Rates for Training SVMs

Regularized risk minimization with the binary hinge loss and its variant...
09/07/2009 ∙ by Ankan Saha, et al. ∙ 0 ∙ share

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

We extend the well-known BFGS quasi-Newton method and its memory-limited...
04/24/2008 ∙ by Jin Yu, et al. ∙ 0 ∙ share

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S. V. N. Vishwanathan

Featured Co-authors

YI LIU

W. Bruce Croft

Inderjit S. Dhillon

Qingyao Ai

Pradeep Dubey

Sriram Srinivasan

Shihao Ji

Xinhua Zhang

Hsiang-Fu Yu

Jin Yu

Houssam Nassif

DS-FACTO: Doubly Separable Factorization Machines

A Zero Attention Model for Personalized Product Search

An Efficient Bandit Algorithm for Realtime Multivariate Optimization

Extreme Stochastic Variational Inference: Distributed and Asynchronous

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

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

WordRank: Learning Word Embeddings via Robust Ranking

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

Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process

Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs

Lower Bounds for BMRM and Faster Rates for Training SVMs

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