In learning-to-rank problems, a privileged feature is one that is availa...
Factorization Machines (FM) are powerful class of models that incorporat...
Product search is one of the most popular methods for people to discover...
Optimization is commonly employed to determine the content of web pages,...
We propose extreme stochastic variational inference (ESVI), an asynchron...
Scaling multinomial logistic regression to datasets with very large numb...
We propose BlackOut, an approximation algorithm to efficiently train mas...
Embedding words in a vector space has gained a lot of attention in recen...
We propose RoBiRank, a ranking algorithm that is motivated by observing ...
We introduce a novel and efficient sampling algorithm for the Multiplica...
We describe the first sub-quadratic sampling algorithm for the Multiplic...
Regularized risk minimization with the binary hinge loss and its variant...
We extend the well-known BFGS quasi-Newton method and its memory-limited...