55 citations · 152 across the 23 of their papers we have counts for
5 papers · 1 filter
An Empirical Evaluation of Sequence-Tagging Trainers
P. Balamurugan, Shirish Shevade, S. Sundararajan +1
The task of assigning label sequences to a set of observed sequences is common in computational linguistics. Several models for sequence labeling have been proposed over the last f…
A Quantitative Evaluation Framework for Missing Value Imputation Algorithms
Vinod Nair, Rahul Kidambi, Sundararajan Sellamanickam +3
We consider the problem of quantitatively evaluating missing value imputation algorithms. Given a dataset with missing values and a choice of several imputation algorithms to fill…
A Structured Prediction Approach for Missing Value Imputation
Rahul Kidambi, Vinod Nair, Sundararajan Sellamanickam +1
Missing value imputation is an important practical problem. There is a large body of work on it, but there does not exist any work that formulates the problem in a structured outpu…
A Parallel SGD method with Strong Convergence
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan +1
This paper proposes a novel parallel stochastic gradient descent (SGD) method that is obtained by applying parallel sets of SGD iterations (each set operating on one node using the…
An efficient distributed learning algorithm based on effective local functional approximations
Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi +2
Scalable machine learning over big data is an important problem that is receiving a lot of attention in recent years. On popular distributed environments such as Hadoop running on…