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2020 – today
- 2024
[j15]Andi Han
, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Differentially private Riemannian optimization. Mach. Learn. 113(3): 1133-1161 (2024)- [j14]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian block SPD coupling manifold and its application to optimal transport. Mach. Learn. 113(4): 1595-1622 (2024) - [j13]Pratik Jawanpuria, Bamdev Mishra, Karthik S. Gurumoorthy:
Revisiting stochastic submodular maximization with cardinality constraint: A bandit perspective. Trans. Mach. Learn. Res. 2024 (2024) - [c31]Andi Han, Pratik Jawanpuria, Bamdev Mishra:
Riemannian coordinate descent algorithms on matrix manifolds. ICML 2024 - [c30]Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra:
Submodular framework for structured-sparse optimal transport. ICML 2024 - [c29]Neel Mishra, Pawan Kumar, Pratik Jawanpuria, Bamdev Mishra:
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. IJCNN 2024: 1-9 - [i57]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda:
A Framework for Bilevel Optimization on Riemannian Manifolds. CoRR abs/2402.03883 (2024) - [i56]Neel Mishra, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar:
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. CoRR abs/2404.07172 (2024) - [i55]Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra:
Federated Learning on Riemannian Manifolds with Differential Privacy. CoRR abs/2404.10029 (2024) - [i54]Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra:
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining. CoRR abs/2406.02214 (2024) - [i53]Andi Han, Pratik Jawanpuria, Bamdev Mishra:
Riemannian coordinate descent algorithms on matrix manifolds. CoRR abs/2406.02225 (2024) - [i52]Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra:
Submodular Framework for Structured-Sparse Optimal Transport. CoRR abs/2406.04914 (2024) - [i51]Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra:
Riemannian Federated Learning via Averaging Gradient Stream. CoRR abs/2409.07223 (2024) - [i50]Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao:
A Riemannian Approach to Ground Metric Learning for Optimal Transport. CoRR abs/2409.10085 (2024) - 2023
- [j12]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. 33(3): 1797-1827 (2023) - [j11]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Nonconvex-nonconcave min-max optimization on Riemannian manifolds. Trans. Mach. Learn. Res. 2023 (2023) - [j10]Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra:
Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction. Trans. Mach. Learn. Res. 2023 (2023) - [c28]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian Accelerated Gradient Methods via Extrapolation. AISTATS 2023: 1554-1585 - [c27]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. GSI (1) 2023: 405-415 - [c26]Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar:
Light-weight Deep Extreme Multilabel Classification. IJCNN 2023: 1-8 - [i49]Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar:
Light-weight Deep Extreme Multilabel Classification. CoRR abs/2304.11045 (2023) - 2022
- [c25]Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra:
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. ACML 2022: 169-184 - [c24]Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava:
Generalised Spherical Text Embedding. ICON 2022: 80-85 - [i48]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR abs/2204.11418 (2022) - [i47]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Differentially private Riemannian optimization. CoRR abs/2205.09494 (2022) - [i46]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian accelerated gradient methods via extrapolation. CoRR abs/2208.06619 (2022) - [i45]Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra:
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. CoRR abs/2210.01860 (2022) - [i44]Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra:
Rieoptax: Riemannian Optimization in JAX. CoRR abs/2210.04840 (2022) - [i43]Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava:
Generalised Spherical Text Embedding. CoRR abs/2211.16801 (2022) - 2021
- [c23]Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra:
Efficient Robust Optimal Transport with Application to Multi-Label Classification. CDC 2021: 1490-1495 - [c22]Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria, Junbin Gao:
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. NeurIPS 2021: 8940-8953 - [c21]Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra:
SPOT: A Framework for Selection of Prototypes Using Optimal Transport. ECML/PKDD (4) 2021: 535-551 - [i42]Bamdev Mishra, N. T. V. Satya Dev, Hiroyuki Kasai, Pratik Jawanpuria:
Manifold optimization for optimal transport. CoRR abs/2103.00902 (2021) - [i41]Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra:
SPOT: A framework for selection of prototypes using optimal transport. CoRR abs/2103.10159 (2021) - [i40]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. CoRR abs/2106.00286 (2021) - 2020
- [c20]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Geometry-aware domain adaptation for unsupervised alignment of word embeddings. ACL 2020: 3052-3058 - [c19]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
A Simple Approach to Learning Unsupervised Multilingual Embeddings. EMNLP (1) 2020: 2995-3001 - [c18]Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra:
Learning Geometric Word Meta-Embeddings. RepL4NLP@ACL 2020: 39-44 - [i39]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
A Simple Approach to Learning Unsupervised Multilingual Embeddings. CoRR abs/2004.05991 (2020) - [i38]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings. CoRR abs/2004.08243 (2020) - [i37]Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra:
Learning Geometric Word Meta-Embeddings. CoRR abs/2004.09219 (2020) - [i36]Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra:
Efficient robust optimal transport: formulations and algorithms. CoRR abs/2010.11852 (2020)
2010 – 2019
- 2019
- [j9]Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop:
A Riemannian gossip approach to subspace learning on Grassmann manifold. Mach. Learn. 108(10): 1783-1803 (2019) - [j8]Hiroyuki Sato, Hiroyuki Kasai, Bamdev Mishra:
Riemannian Stochastic Variance Reduced Gradient Algorithm with Retraction and Vector Transport. SIAM J. Optim. 29(2): 1444-1472 (2019) - [j7]Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra:
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. Trans. Assoc. Comput. Linguistics 7: 107-120 (2019) - [c17]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Low-rank approximations of hyperbolic embeddings. CDC 2019: 7159-7164 - [c16]Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra:
Riemannian adaptive stochastic gradient algorithms on matrix manifolds. ICML 2019: 3262-3271 - [c15]Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra:
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. KDD 2019: 2134-2144 - [i35]Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra:
Adaptive stochastic gradient algorithms on Riemannian manifolds. CoRR abs/1902.01144 (2019) - [i34]Hiroyuki Kasai, Bamdev Mishra:
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold. CoRR abs/1902.04186 (2019) - [i33]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Low-rank approximations of hyperbolic embeddings. CoRR abs/1903.07307 (2019) - [i32]Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra:
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. CoRR abs/1905.06246 (2019) - [i31]Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria:
Riemannian optimization on the simplex of positive definite matrices. CoRR abs/1906.10436 (2019) - 2018
- [c14]Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra:
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis. AISTATS 2018: 269-278 - [c13]Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CIKM 2018: 307-316 - [c12]Hiroyuki Kasai, Bamdev Mishra:
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifolds. EUSIPCO 2018: 2010-2014 - [c11]Pratik Jawanpuria, Bamdev Mishra:
A Unified Framework for Structured Low-rank Matrix Learning. ICML 2018: 2259-2268 - [c10]Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra:
Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis. ICML 2018: 2521-2529 - [c9]Hiroyuki Kasai, Bamdev Mishra:
Inexact trust-region algorithms on Riemannian manifolds. NeurIPS 2018: 4254-4265 - [c8]Madhav Nimishakavi, Pratik Kumar Jawanpuria, Bamdev Mishra:
A Dual Framework for Low-rank Tensor Completion. NeurIPS 2018: 5489-5500 - [c7]Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh:
A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds. ECML/PKDD (2) 2018: 843-860 - [i30]Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CoRR abs/1802.06371 (2018) - [i29]Anil R. Yelundur, Srinivasan H. Sengamedu, Bamdev Mishra:
Bayesian Semi-Supervised Tensor Decomposition using Natural Gradients for Anomaly Detection. CoRR abs/1804.03836 (2018) - [i28]Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh:
A Unified Framework for Domain Adaptation using Metric Learning on Manifolds. CoRR abs/1804.10834 (2018) - [i27]Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai, Bamdev Mishra:
Low-rank geometric mean metric learning. CoRR abs/1806.05454 (2018) - [i26]Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra:
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. CoRR abs/1808.08773 (2018) - [i25]Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai, Bamdev Mishra:
McTorch, a manifold optimization library for deep learning. CoRR abs/1810.01811 (2018) - 2017
- [j6]Yuanming Shi, Bamdev Mishra, Wei Chen:
Topological Interference Management With User Admission Control via Riemannian Optimization. IEEE Trans. Wirel. Commun. 16(11): 7362-7375 (2017) - [c6]Yuanming Shi, Bamdev Mishra, Xuan Liu, Wei Chen:
A Sparse and Low-Rank Optimization Framework for Network Topology Control in Dense Fog-RAN. VTC Spring 2017: 1-5 - [i24]Hiroyuki Sato, Hiroyuki Kasai, Bamdev Mishra:
Riemannian stochastic variance reduced gradient. CoRR abs/1702.05594 (2017) - [i23]Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra:
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis. CoRR abs/1703.04890 (2017) - [i22]Pratik Jawanpuria, Bamdev Mishra:
A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications. CoRR abs/1704.07352 (2017) - [i21]Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop:
A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold. CoRR abs/1705.00467 (2017) - [i20]Mukul Bhutani, Bamdev Mishra:
A two-dimensional decomposition approach for matrix completion through gossip. CoRR abs/1711.07684 (2017) - [i19]Madhav Nimishakavi, Pratik Jawanpuria, Bamdev Mishra:
A Dual Framework for Low-rank Tensor Completion. CoRR abs/1712.01193 (2017) - 2016
- [j5]Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin:
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 476-489 (2016) - [j4]Bamdev Mishra, Rodolphe Sepulchre:
Riemannian Preconditioning. SIAM J. Optim. 26(1): 635-660 (2016) - [c5]Bamdev Mishra, Rodolphe Sepulchre:
Scaled stochastic gradient descent for low-rank matrix completion. CDC 2016: 2820-2825 - [c4]Hiroyuki Kasai, Bamdev Mishra:
Low-rank tensor completion: a Riemannian manifold preconditioning approach. ICML 2016: 1012-1021 - [i18]Bamdev Mishra, Rodolphe Sepulchre:
Scaled stochastic gradient descent for low-rank matrix completion. CoRR abs/1603.04989 (2016) - [i17]Yuanming Shi, Bamdev Mishra:
A Sparse and Low-Rank Optimization Framework for Index Coding via Riemannian Optimization. CoRR abs/1604.04325 (2016) - [i16]Bamdev Mishra, Hiroyuki Kasai, Atul Saroop:
A Riemannian gossip approach to decentralized matrix completion. CoRR abs/1605.06968 (2016) - [i15]Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra:
Riemannian stochastic variance reduced gradient on Grassmann manifold. CoRR abs/1605.07367 (2016) - [i14]Hiroyuki Kasai, Bamdev Mishra:
Low-rank tensor completion: a Riemannian manifold preconditioning approach. CoRR abs/1605.08257 (2016) - [i13]Yuanming Shi, Bamdev Mishra:
Topological Interference Management with User Admission Control via Riemannian Optimization. CoRR abs/1607.07252 (2016) - 2015
- [c3]Raphaël Liégeois, Bamdev Mishra, Mattia Zorzi, Rodolphe Sepulchre:
Sparse plus low-rank autoregressive identification in neuroimaging time series. CDC 2015: 3965-3970 - [i12]Raphaël Liégeois, Bamdev Mishra, Mattia Zorzi, Rodolphe Sepulchre:
Sparse plus low-rank autoregressive identification in neuroimaging time series. CoRR abs/1503.08639 (2015) - [i11]Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin:
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. CoRR abs/1504.01777 (2015) - [i10]Hiroyuki Kasai, Bamdev Mishra:
Riemannian preconditioning for tensor completion. CoRR abs/1506.02159 (2015) - [i9]Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla:
Understanding symmetries in deep networks. CoRR abs/1511.01029 (2015) - [i8]Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla:
Symmetry-invariant optimization in deep networks. CoRR abs/1511.01754 (2015) - 2014
- [j3]Bamdev Mishra, Gilles Meyer, Silvère Bonnabel, Rodolphe Sepulchre:
Fixed-rank matrix factorizations and Riemannian low-rank optimization. Comput. Stat. 29(3): 591-621 (2014) - [j2]Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre:
Manopt, a matlab toolbox for optimization on manifolds. J. Mach. Learn. Res. 15(1): 1455-1459 (2014) - [c2]Bamdev Mishra, Rodolphe Sepulchre:
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion. CDC 2014: 1137-1142 - [i7]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2013
- [j1]Bamdev Mishra, Gilles Meyer, Francis R. Bach, Rodolphe Sepulchre:
Low-Rank Optimization with Trace Norm Penalty. SIAM J. Optim. 23(4): 2124-2149 (2013) - [i6]Bamdev Mishra, Gilles Meyer, Rodolphe Sepulchre:
Low-rank optimization for distance matrix completion. CoRR abs/1304.6663 (2013) - [i5]Bamdev Mishra, Rodolphe Sepulchre:
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion. CoRR abs/1306.2672 (2013) - [i4]Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre:
Manopt, a Matlab toolbox for optimization on manifolds. CoRR abs/1308.5200 (2013) - 2012
- [i3]Bamdev Mishra, Gilles Meyer, Silvère Bonnabel, Rodolphe Sepulchre:
Fixed-rank matrix factorizations and Riemannian low-rank optimization. CoRR abs/1209.0430 (2012) - [i2]Bamdev Mishra, K. Adithya Apuroop, Rodolphe Sepulchre:
A Riemannian geometry for low-rank matrix completion. CoRR abs/1211.1550 (2012) - 2011
- [c1]Bamdev Mishra, Gilles Meyer, Rodolphe Sepulchre:
Low-rank optimization for distance matrix completion. CDC/ECC 2011: 4455-4460 - [i1]Bamdev Mishra, Gilles Meyer, Francis R. Bach, Rodolphe Sepulchre:
Low-rank optimization with trace norm penalty. CoRR abs/1112.2318 (2011)
Coauthor Index
Pratik Jawanpuria
aka: Pratik Kumar Jawanpuria
aka: Pratik Kumar Jawanpuria
[j15] [j14] [j13] [c31] [c30] [c29] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [j12] [j11] [j10] [c28] [c27] [c26] [i49] [c25] [c24] [i48] [i47] [i46] [i45] [i44] [i43] [c23] [c22] [c21] [i42] [i41] [i40] [c20] [c19] [c18] [i39] [i38] [i37] [i36] [j9] [j7] [c17] [c16] [i35] [i33] [i31] [c11] [c8] [i27] [i26] [i25] [i22] [i21] [i19]
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