5.2k citations · 7.8k across the 38 of their papers we have counts for
3 papers · 1 filter
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…
Para-active learning
Alekh Agarwal, Leon Bottou, Miroslav Dudik +1
Training examples are not all equally informative. Active learning strategies leverage this observation in order to massively reduce the number of examples that need to be labeled.…
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…