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 | 78 | 2019 |
Riemannian adaptive stochastic gradient algorithms on matrix manifolds H Kasai, P Jawanpuria, B Mishra International Conference on Machine Learning (ICML), 3262-3271, 2019 | 58 | 2019 |
A dual framework for low-rank tensor completion M Nimishakavi, P Jawanpuria, B Mishra Advances in Neural Information Processing Systems, 2018 | 43 | 2018 |
Efficient output kernel learning for multiple tasks PK Jawanpuria, M Lapin, M Hein, B Schiele Advances in neural information processing systems 28, 2015 | 38 | 2015 |
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 |
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 |
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 | 29 | 2021 |
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 | 29 | 2012 |
A Riemannian gossip approach to subspace learning on Grassmann manifold B Mishra, H Kasai, P Jawanpuria, A Saroop Machine Learning 108, 1783-1803, 2019 | 27 | 2019 |
Generalized hierarchical kernel learning. P Jawanpuria, JS Nath, G Ramakrishnan J. Mach. Learn. Res. 16, 617-652, 2015 | 26 | 2015 |
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 |
Multi-task Multiple Kernel Learning P Jawanpuria, JS Nath SIAM International Conference on Data Mining (SDM-11), 2011 | 23 | 2011 |
Statistical Optimal Transport posed as Learning Kernel Embedding SN Jagarlapudi, PK Jawanpuria Advances in Neural Information Processing Systems 33, 2020 | 17* | 2020 |
Learning Geometric Word Meta-Embeddings P Jawanpuria, NTV Dev, A Kunchukuttan, B Mishra ACL Workshop on Representation Learning for NLP (RepL4NLP), 2020 | 16 | 2020 |
Low-rank geometric mean metric learning M Bhutani, P Jawanpuria, H Kasai, B Mishra ICML workshop on Geometry in Machine Learning (GiMLi), 2018 | 16 | 2018 |
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 | 15 | 2020 |
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 | 13 | 2023 |
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 | 13* | 2021 |
SPOT: A framework for selection of prototypes using optimal transport KS Gurumoorthy, P Jawanpuria, B Mishra Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 9 | 2021 |