
DSFACTO: Doubly Separable Factorization Machines
Factorization Machines (FM) are powerful class of models that incorporat...
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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...
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An Efficient Bandit Algorithm for Realtime Multivariate Optimization
Optimization is commonly employed to determine the content of web pages,...
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Extreme Stochastic Variational Inference: Distributed and Asynchronous
We propose extreme stochastic variational inference (ESVI), an asynchron...
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DSMLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression
Scaling multinomial logistic regression to datasets with very large numb...
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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...
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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...
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Ranking via Robust Binary Classification and Parallel Parameter Estimation in LargeScale Data
We propose RoBiRank, a ranking algorithm that is motivated by observing ...
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Efficiently Sampling Multiplicative Attribute Graphs Using a BallDropping Process
We introduce a novel and efficient sampling algorithm for the Multiplica...
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Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
We describe the first subquadratic sampling algorithm for the Multiplic...
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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...
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A QuasiNewton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the wellknown BFGS quasiNewton method and its memorylimited...
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S. V. N. Vishwanathan
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