Követés
Bamdev Mishra
Bamdev Mishra
Microsoft, Past: Amazon, U Cambridge, U Liège, IIT Bombay
E-mail megerősítve itt: microsoft.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
12242014
Low-rank tensor completion: a Riemannian manifold preconditioning approach
H Kasai, B Mishra
International conference on machine learning, 1012-1021, 2016
1612016
Low-rank optimization with trace norm penalty
B Mishra, G Meyer, F Bach, R Sepulchre
SIAM Journal on Optimization 23 (4), 2124–2149, 2013
1552013
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
149*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
1492014
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
852019
Riemannian preconditioning
B Mishra, R Sepulchre
SIAM Journal on Optimization 26 (1), 635-660, 2016
842016
A Riemannian geometry for low-rank matrix completion
B Mishra, K Adithya Apuroop, R Sepulchre
arXiv preprint arXiv:1211.1550, 2012
832012
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
782015
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
762011
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
H Kasai, P Jawanpuria, B Mishra
International conference on machine learning, 3262-3271, 2019
732019
Symmetry-invariant optimization in deep networks
V Badrinarayanan, B Mishra, R Cipolla
arXiv preprint arXiv:1511.01754, 2015
73*2015
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
662014
Riemannian Stochastic Recursive Gradient Algorithm
H Kasai, H Sato, B Mishra
International Conference on Machine Learning, 2521-2529, 2018
572018
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
472021
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
462018
A dual framework for low-rank tensor completion
M Nimishakavi, PK Jawanpuria, B Mishra
Advances in Neural Information Processing Systems, 5489-5500, 2018
442018
A Riemannian gossip approach to subspace learning on Grassmann manifold
B Mishra, H Kasai, P Jawanpuria, A Saroop
Machine Learning 108, 1783-1803, 2019
402019
A Unified Framework for Structured Low-rank Matrix Learning
P Jawanpuria, B Mishra
International Conference on Machine Learning, 2259-2268, 2018
35*2018
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
332018
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