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- Pratik Jawanpuria, J. Saketha Nath
- ICML
- 2012

This paper considers the multi-task learning problem and in the setting where some relevant features could be shared across few related tasks. Most of the existing methods assume the extent to whichâ€¦ (More)

- Pratik Jawanpuria, Manik Varma, J. Saketha Nath
- ICML
- 2014

Our objective is to develop formulations and algorithms for efficiently computing the feature selection path â€“ i.e. the variation in classification accuracy as the fraction of selected features isâ€¦ (More)

- Pratik Jawanpuria, J. Saketha Nath
- SDM
- 2011

This paper presents two novel formulations for learning shared feature representations across multiple tasks. The idea is to pose the problem as that of learning a shared kernel, which is constructedâ€¦ (More)

- Pratik Jawanpuria, J. Saketha Nath, Ganesh Ramakrishnan
- Journal of Machine Learning Research
- 2015

This paper generalizes the framework of Hierarchical Kernel Learning (HKL) and illustrates its utility in the domain of rule learning. HKL involves Multiple Kernel Learning over a set of given baseâ€¦ (More)

- Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele
- NIPS
- 2015

The paradigm of multi-task learning is that one can achieve better generalization by learning tasks jointly and thus exploiting the similarity between the tasks rather than learning themâ€¦ (More)

This paper addresses the problem of Rule Ensemble Learning (REL), where the goal is simultaneous discovery of a small set of simple rules and their optimal weights that lead to good generalization.â€¦ (More)

We propose a novel geometric approach for learning bilingual mappings given monolingual embeddings and a bilingual dictionary. Our approach decouples learning the transformation from the sourceâ€¦ (More)

- Madhav Nimishakavi, Pratik Jawanpuria, Bamdev Mishra
- ArXiv
- 2017

One of the popular approaches for low-rank tensor completion is to use the latent trace norm regularization. However, most existing works in this direction learn a sparse combination of tensors. Inâ€¦ (More)

- Pratik Jawanpuria, Bamdev Mishra
- ICML
- 2018

We consider the problem of learning a low-rank matrix, constrained to lie in a linear subspace, and introduce a novel factorization for modeling such matrices. A salient feature of the proposedâ€¦ (More)

We consider the problem of learning a low-rank matrix, constrained to lie in a linear subspace, and introduce a novel factorization for modeling such matrices. A salient feature of the proposedâ€¦ (More)