23 citations · 129 across the 43 of their papers we have counts for
4 papers · 1 filter
Generalized infinite dimensional Alpha-Procrustes based geometries
Salvish Goomanee, Andi Han, Pratik Jawanpuria +1
This work extends the recently introduced Alpha-Procrustes family of Riemannian metrics for symmetric positive definite (SPD) matrices by incorporating generalized versions of the…
McTorch, a manifold optimization library for deep learning
Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan +2
In this paper, we introduce McTorch, a manifold optimization library for deep learning that extends PyTorch. It aims to lower the barrier for users wishing to use manifold constrai…
Structured low-rank matrix learning: algorithms and applications
Pratik Jawanpuria, Bamdev Mishra
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…
Efficient Output Kernel Learning for Multiple Tasks
Pratik Jawanpuria, Maksim Lapin, Matthias Hein +1
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 learnin…