5 citations · 13 across the 5 of their papers we have counts for
5 papers
DS-FACTO: Doubly Separable Factorization Machines
Parameswaran Raman, S. V. N. Vishwanathan
Factorization Machines (FM) are powerful class of models that incorporate higher-order interaction among features to add more expressive power to linear models. They have been used…
Optimization on the Surface of the (Hyper)-Sphere
Parameswaran Raman, Jiasen Yang
Thomson problem is a classical problem in physics to study how number of charged particles distribute themselves on the surface of a sphere of dimensions. When , i.e.…
Extreme Stochastic Variational Inference: Distributed and Asynchronous
Jiong Zhang, Parameswaran Raman, Shihao Ji +3
Stochastic variational inference (SVI), the state-of-the-art algorithm for scaling variational inference to large-datasets, is inherently serial. Moreover, it requires the paramete…
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression
Parameswaran Raman, Sriram Srinivasan, Shin Matsushima +3
Scaling multinomial logistic regression to datasets with very large number of data points and classes is challenging. This is primarily because one needs to compute the log-partiti…
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan
We propose RoBiRank, a ranking algorithm that is motivated by observing a close connection between evaluation metrics for learning to rank and loss functions for robust classificat…