| Manopt, a Matlab toolbox for optimization on manifolds N Boumal, B Mishra, PA Absil, R Sepulchre Journal of Machine Learning Research 15 (Apr), 1455--1459, 2014 | 1125 | 2014 |
| Low-rank tensor completion: a Riemannian manifold preconditioning approach H Kasai, B Mishra International conference on machine learning, 1012-1021, 2016 | 155 | 2016 |
| Low-rank optimization with trace norm penalty B Mishra, G Meyer, F Bach, R Sepulchre SIAM Journal on Optimization 23 (4), 2124–2149, 2013 | 150 | 2013 |
| Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport H Sato, H Kasai, B Mishra SIAM Journal on Optimization 29 (2), 1444-1472, 2019 | 141* | 2019 |
| Fixed-rank matrix factorizations and Riemannian low-rank optimization B Mishra, G Meyer, S Bonnabel, R Sepulchre Computational Statistics 29 (3-4), 591-621, 2014 | 137 | 2014 |
| 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 | 82 | 2019 |
| Riemannian preconditioning B Mishra, R Sepulchre SIAM Journal on Optimization 26 (1), 635-660, 2016 | 80 | 2016 |
| Heterogeneous tensor decomposition for clustering via manifold optimization Y Sun, J Gao, X Hong, B Mishra, B Yin IEEE transactions on pattern analysis and machine intelligence 38 (3), 476-489, 2015 | 76 | 2015 |
| Low-rank optimization for distance matrix completion B Mishra, G Meyer, R Sepulchre 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 76 | 2011 |
| A Riemannian geometry for low-rank matrix completion B Mishra, K Adithya Apuroop, R Sepulchre arXiv preprint arXiv:1211.1550, 2012 | 73 | 2012 |
| Symmetry-invariant optimization in deep networks V Badrinarayanan, B Mishra, R Cipolla arXiv preprint arXiv:1511.01754, 2015 | 64* | 2015 |
| Riemannian adaptive stochastic gradient algorithms on matrix manifolds H Kasai, P Jawanpuria, B Mishra International conference on machine learning, 3262-3271, 2019 | 62 | 2019 |
| R3MC: A Riemannian three-factor algorithm for low-rank matrix completion B Mishra, R Sepulchre 53rd IEEE Conference on Decision and Control, 1137-1142, 2014 | 61 | 2014 |
| Riemannian Stochastic Recursive Gradient Algorithm H Kasai, H Sato, B Mishra International Conference on Machine Learning, 2521-2529, 2018 | 52 | 2018 |
| A dual framework for low-rank tensor completion M Nimishakavi, PK Jawanpuria, B Mishra Advances in Neural Information Processing Systems, 5489-5500, 2018 | 42 | 2018 |
| McTorch, a manifold optimization library for deep learning M Meghwanshi, P Jawanpuria, A Kunchukuttan, H Kasai, B Mishra Workshop on Machine Learning Open Source Software @NeurIPS, 2018 | 41 | 2018 |
| A Riemannian gossip approach to subspace learning on Grassmann manifold B Mishra, H Kasai, P Jawanpuria, A Saroop Machine Learning 108, 1783-1803, 2019 | 34* | 2019 |
| Inductive framework for multi-aspect streaming tensor completion with side information M Nimishakavi, B Mishra, M Gupta, P Talukdar Proceedings of the 27th ACM international conference on information and …, 2018 | 33 | 2018 |
| A Unified Framework for Structured Low-rank Matrix Learning P Jawanpuria, B Mishra International Conference on Machine Learning, 2259-2268, 2018 | 33* | 2018 |
| 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 | 32 | 2021 |
Pratik JawanpuriaPrincipal applied scientist, Microsoft IndiaVerified email at microsoft.com
