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Pratik Jawanpuria
Pratik Jawanpuria
Principal applied scientist, Microsoft India
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Learning multilingual word embeddings in latent metric space: a geometric approach
P Jawanpuria, A Balgovind, A Kunchukuttan, B Mishra
Transactions of the Association for Computational Linguistics 7, 107-120, 2019
602019
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
H Kasai, P Jawanpuria, B Mishra
International Conference on Machine Learning (ICML), 3262-3271, 2019
38*2019
Efficient output kernel learning for multiple tasks
PK Jawanpuria, M Lapin, M Hein, B Schiele
Advances in neural information processing systems 28, 2015
312015
On p-norm path following in multiple kernel learning for non-linear feature selection
P Jawanpuria, M Varma, S Nath
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
312014
McTorch, a manifold optimization library for deep learning
M Meghwanshi, P Jawanpuria, A Kunchukuttan, H Kasai, B Mishra
NeurIPS workshop on Machine Learning Open Source Software (MLOSS), 2018
292018
A dual framework for low-rank tensor completion
M Nimishakavi, P Jawanpuria, B Mishra
Advances in Neural Information Processing Systems, 2018
282018
Generalized hierarchical kernel learning
P Jawanpuria, JS Nath, G Ramakrishnan
Journal of Machine Learning Research 16 (20), 617-652, 2015
242015
A unified framework for structured low-rank matrix learning
P Jawanpuria, B Mishra
International Conference on Machine Learning, 2254-2263, 2018
23*2018
Efficient rule ensemble learning using hierarchical kernels
P Jawanpuria, JS Nath, G Ramakrishnan
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
222011
A Convex Feature Learning Formulation for Latent Task Structure Discovery
P Jawanpuria, JS Nath
Proceedings of the 28th International Conference on Machine Learning (ICML-12), 2012
212012
Multi-task Multiple Kernel Learning
P Jawanpuria, JS Nath
SIAM International Conference on Data Mining (SDM-11), 2011
202011
A Riemannian gossip approach to subspace learning on Grassmann manifold
B Mishra, H Kasai, P Jawanpuria, A Saroop
Machine Learning 108 (10), 1783-1803, 2019
162019
Statistical Optimal Transport posed as Learning Kernel Embedding
SN Jagarlapudi, PK Jawanpuria
Advances in Neural Information Processing Systems 33, 2020
11*2020
Low-rank geometric mean metric learning
M Bhutani, P Jawanpuria, H Kasai, B Mishra
ICML workshop on Geometry in Machine Learning (GiMLi), 2018
112018
Learning Geometric Word Meta-Embeddings
P Jawanpuria, NTV Dev, A Kunchukuttan, B Mishra
ACL Workshop on Representation Learning for NLP (RepL4NLP), 2020
102020
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings
P Jawanpuria, M Meghwanshi, B Mishra
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
92020
On Riemannian optimization over positive definite matrices with the Bures-Wasserstein geometry
A Han, B Mishra, PK Jawanpuria, J Gao
Advances in Neural Information Processing Systems 34, 8940-8953, 2021
72021
Efficient robust optimal transport with application to multi-label classification
P Jawanpuria, NTV Satyadev, B Mishra
2021 60th IEEE Conference on Decision and Control (CDC), 1490-1495, 2021
5*2021
SPOT: A framework for selection of prototypes using optimal transport
KS Gurumoorthy, P Jawanpuria, B Mishra
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
52021
Low-rank approximations of hyperbolic embeddings
P Jawanpuria, M Meghwanshi, B Mishra
IEEE Conference on Decision and Control (CDC), 2019
52019
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