Pratik Jawanpuria

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	All	Since 2018
Citations	568	494
h-index	15	13
i10-index	18	17

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Co-authors

Bamdev MishraMicrosoft, Past: Amazon, U Cambridge, U Liège, IIT BombayVerified email at microsoft.com
Hiroyuki KASAIWASEDA University, JAPANVerified email at waseda.jp
J. Saketha NathAssociate Professor, Dept. of CSE, IIT Hyderabad.Verified email at iith.ac.in
Andi HanPhD student, University of SydneyVerified email at sydney.edu.au
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
Anoop KunchukuttanMicrosoft Translator, AI4Bharat, IIT MadrasVerified email at microsoft.com
Mayank MeghwanshiMicrosoftVerified email at microsoft.com
Ganesh RamakrishnanProfessor, Department of Computer Science and Engineering, Indian Institute of Technology BombayVerified email at cse.iitb.ac.in
Madhav NimishakaviAmazon IMLVerified email at amazon.com
Arjun BalgovindMicrosoftVerified email at microsoft.com
Atul SaroopAmazonVerified email at amazon.com
Soumyadeep DeyData And Applied Scientist MicrosoftVerified email at microsoft.com
Maksim LapinSenior Applied Scientist, AmazonVerified email at amazon.com
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Manik VarmaDistinguished Scientist and Vice President, Microsoft Research IndiaVerified email at microsoft.com
Mukul BhutaniGoogleVerified email at google.com
Karthik GurumoorthyMachine Learning Scientist, Amazon Development CenterVerified email at amazon.com
Saiteja Utpalauniversity fo california santa barbaraVerified email at ucsb.edu
Piyushi ManupriyaPhD student, IIT Hyderabad, IndiaVerified email at iith.ac.in

Pratik Jawanpuria

Principal applied scientist, Microsoft India

Verified email at microsoft.com - Homepage

Machine Learning Optimization


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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	67	2019
Riemannian adaptive stochastic gradient algorithms on matrix manifolds H Kasai, P Jawanpuria, B Mishra International Conference on Machine Learning (ICML), 3262-3271, 2019	50	2019
A dual framework for low-rank tensor completion M Nimishakavi, P Jawanpuria, B Mishra Advances in Neural Information Processing Systems, 2018	42	2018
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	37	2018
Efficient output kernel learning for multiple tasks PK Jawanpuria, M Lapin, M Hein, B Schiele Advances in neural information processing systems 28, 2015	34	2015
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	33	2014
A unified framework for structured low-rank matrix learning P Jawanpuria, B Mishra International Conference on Machine Learning, 2254-2263, 2018	32*	2018
Generalized hierarchical kernel learning. P Jawanpuria, JS Nath, G Ramakrishnan J. Mach. Learn. Res. 16, 617-652, 2015	28	2015
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	27	2012
Efficient rule ensemble learning using hierarchical kernels P Jawanpuria, JS Nath, G Ramakrishnan Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	25	2011
A Riemannian gossip approach to subspace learning on Grassmann manifold B Mishra, H Kasai, P Jawanpuria, A Saroop Machine Learning 108, 1783-1803, 2019	22	2019
Multi-task Multiple Kernel Learning P Jawanpuria, JS Nath SIAM International Conference on Data Mining (SDM-11), 2011	22	2011
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	19	2021
Learning Geometric Word Meta-Embeddings P Jawanpuria, NTV Dev, A Kunchukuttan, B Mishra ACL Workshop on Representation Learning for NLP (RepL4NLP), 2020	15	2020
Low-rank geometric mean metric learning M Bhutani, P Jawanpuria, H Kasai, B Mishra ICML workshop on Geometry in Machine Learning (GiMLi), 2018	15	2018
Statistical Optimal Transport posed as Learning Kernel Embedding SN Jagarlapudi, PK Jawanpuria Advances in Neural Information Processing Systems 33, 2020	13*	2020
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	13	2020
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	12*	2021
Low-rank approximations of hyperbolic embeddings P Jawanpuria, M Meghwanshi, B Mishra IEEE Conference on Decision and Control (CDC), 2019	9	2019
Riemannian Hamiltonian methods for min-max optimization on manifolds A Han, B Mishra, P Jawanpuria, P Kumar, J Gao SIAM Journal on Optimization 33 (3), 1797-1827, 2023	8	2023

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