Bamdev Mishra

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 80

Top Topics

Positive Definite

Riemannian Manifolds

Stochastic Gradient

Matrix Completion

Top Venues

Publications

Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Sakethanath Nath Jagarlapudi, Bamdev Mishra
Submodular Framework for Structured-Sparse Optimal Transport. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
A Framework for Bilevel Optimization on Riemannian Manifolds. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Riemannian block SPD coupling manifold and its application to optimal transport. Mach. Learn. 113 (4) (2024)
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 (2024)
Andi Han, Pratik Jawanpuria, Bamdev Mishra
Riemannian coordinate descent algorithms on matrix manifolds. CoRR (2024)
Pratik Jawanpuria, Bamdev Mishra, Karthik S. Gurumoorthy
Revisiting stochastic submodular maximization with cardinality constraint: A bandit perspective. Trans. Mach. Learn. Res. 2024 (2024)
Neel Mishra, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Differentially private Riemannian optimization. Mach. Learn. 113 (3) (2024)
Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
Federated Learning on Riemannian Manifolds with Differential Privacy. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. GSI (1) (2023)
Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra
Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction. Trans. Mach. Learn. Res. 2023 (2023)
Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar
Light-weight Deep Extreme Multilabel Classification. IJCNN (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. 33 (3) (2023)
Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar
Light-weight Deep Extreme Multilabel Classification. CoRR (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Riemannian Accelerated Gradient Methods via Extrapolation. AISTATS (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Nonconvex-nonconcave min-max optimization on Riemannian manifolds. Trans. Mach. Learn. Res. 2023 (2023)
Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava
Generalised Spherical Text Embedding. ICON (2022)
Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra
Rieoptax: Riemannian Optimization in JAX. CoRR (2022)
Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava
Generalised Spherical Text Embedding. CoRR (2022)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Differentially private Riemannian optimization. CoRR (2022)
Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. ACML (2022)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Riemannian accelerated gradient methods via extrapolation. CoRR (2022)
Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. CoRR (2022)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR (2022)
Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria, Junbin Gao
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. NeurIPS (2021)
Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra
Efficient Robust Optimal Transport with Application to Multi-Label Classification. CDC (2021)
Bamdev Mishra, N. T. V. Satya Dev, Hiroyuki Kasai, Pratik Jawanpuria
Manifold optimization for optimal transport. CoRR (2021)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. CoRR (2021)
Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
SPOT: A Framework for Selection of Prototypes Using Optimal Transport. ECML/PKDD (4) (2021)
Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
SPOT: A framework for selection of prototypes using optimal transport. CoRR (2021)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings. CoRR (2020)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
Geometry-aware domain adaptation for unsupervised alignment of word embeddings. ACL (2020)
Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra
Learning Geometric Word Meta-Embeddings. CoRR (2020)
Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra
Learning Geometric Word Meta-Embeddings. RepL4NLP@ACL (2020)
Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra
Efficient robust optimal transport: formulations and algorithms. CoRR (2020)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
A Simple Approach to Learning Unsupervised Multilingual Embeddings. EMNLP (1) (2020)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
A Simple Approach to Learning Unsupervised Multilingual Embeddings. CoRR (2020)
Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra
Riemannian adaptive stochastic gradient algorithms on matrix manifolds. ICML (2019)
Hiroyuki Kasai, Bamdev Mishra
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold. CoRR (2019)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
Low-rank approximations of hyperbolic embeddings. CDC (2019)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
Low-rank approximations of hyperbolic embeddings. CoRR (2019)
Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria
Riemannian optimization on the simplex of positive definite matrices. CoRR (2019)
Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. CoRR (2019)
Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition. KDD (2019)
Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. Trans. Assoc. Comput. Linguistics 7 (2019)
Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra
Adaptive stochastic gradient algorithms on Riemannian manifolds. CoRR (2019)
Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop
A Riemannian gossip approach to subspace learning on Grassmann manifold. Mach. Learn. 108 (10) (2019)
Hiroyuki Sato, Hiroyuki Kasai, Bamdev Mishra
Riemannian Stochastic Variance Reduced Gradient Algorithm with Retraction and Vector Transport. SIAM J. Optim. 29 (2) (2019)
Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CoRR (2018)
Hiroyuki Kasai, Bamdev Mishra
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifolds. EUSIPCO (2018)
Hiroyuki Kasai, Bamdev Mishra
Inexact trust-region algorithms on Riemannian manifolds. NeurIPS (2018)
Madhav Nimishakavi, Pratik Kumar Jawanpuria, Bamdev Mishra
A Dual Framework for Low-rank Tensor Completion. NeurIPS (2018)
Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
A Unified Framework for Domain Adaptation using Metric Learning on Manifolds. CoRR (2018)
Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai, Bamdev Mishra
McTorch, a manifold optimization library for deep learning. CoRR (2018)
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis. AISTATS (2018)
Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. CoRR (2018)
Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CIKM (2018)
Pratik Jawanpuria, Bamdev Mishra
A Unified Framework for Structured Low-rank Matrix Learning. ICML (2018)
Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai, Bamdev Mishra
Low-rank geometric mean metric learning. CoRR (2018)
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis. ICML (2018)
Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds. ECML/PKDD (2) (2018)
Anil R. Yelundur, Srinivasan H. Sengamedu, Bamdev Mishra
Bayesian Semi-Supervised Tensor Decomposition using Natural Gradients for Anomaly Detection. CoRR (2018)
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis. CoRR (2017)
Pratik Jawanpuria, Bamdev Mishra
A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications. CoRR (2017)
Madhav Nimishakavi, Pratik Jawanpuria, Bamdev Mishra
A Dual Framework for Low-rank Tensor Completion. CoRR (2017)
Mukul Bhutani, Bamdev Mishra
A two-dimensional decomposition approach for matrix completion through gossip. CoRR (2017)
Hiroyuki Sato, Hiroyuki Kasai, Bamdev Mishra
Riemannian stochastic variance reduced gradient. CoRR (2017)
Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop
A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold. CoRR (2017)
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)
Yuanming Shi, Bamdev Mishra, Wei Chen
Topological Interference Management With User Admission Control via Riemannian Optimization. IEEE Trans. Wirel. Commun. 16 (11) (2017)
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
Riemannian stochastic variance reduced gradient on Grassmann manifold. CoRR (2016)
Yuanming Shi, Bamdev Mishra
Topological Interference Management with User Admission Control via Riemannian Optimization. CoRR (2016)
Bamdev Mishra, Rodolphe Sepulchre
Scaled stochastic gradient descent for low-rank matrix completion. CoRR (2016)
Bamdev Mishra, Rodolphe Sepulchre
Riemannian Preconditioning. SIAM J. Optim. 26 (1) (2016)
Yuanming Shi, Bamdev Mishra
A Sparse and Low-Rank Optimization Framework for Index Coding via Riemannian Optimization. CoRR (2016)
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) (2016)
Bamdev Mishra, Hiroyuki Kasai, Atul Saroop
A Riemannian gossip approach to decentralized matrix completion. CoRR (2016)
Hiroyuki Kasai, Bamdev Mishra
Low-rank tensor completion: a Riemannian manifold preconditioning approach. ICML (2016)
Hiroyuki Kasai, Bamdev Mishra
Low-rank tensor completion: a Riemannian manifold preconditioning approach. CoRR (2016)
Bamdev Mishra, Rodolphe Sepulchre
Scaled stochastic gradient descent for low-rank matrix completion. CDC (2016)
Hiroyuki Kasai, Bamdev Mishra
Riemannian preconditioning for tensor completion. CoRR (2015)
Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla
Symmetry-invariant optimization in deep networks. CoRR (2015)
Raphaël Liégeois, Bamdev Mishra, Mattia Zorzi, Rodolphe Sepulchre
Sparse plus low-rank autoregressive identification in neuroimaging time series. CDC (2015)
Raphaël Liégeois, Bamdev Mishra, Mattia Zorzi, Rodolphe Sepulchre
Sparse plus low-rank autoregressive identification in neuroimaging time series. CoRR (2015)
Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. CoRR (2015)
Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla
Understanding symmetries in deep networks. CoRR (2015)
Bamdev Mishra, Gilles Meyer, Silvère Bonnabel, Rodolphe Sepulchre
Fixed-rank matrix factorizations and Riemannian low-rank optimization. Comput. Stat. 29 (3) (2014)
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 (2014)
Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre
Manopt, a matlab toolbox for optimization on manifolds. J. Mach. Learn. Res. 15 (1) (2014)
Bamdev Mishra, Rodolphe Sepulchre
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion. CDC (2014)
Bamdev Mishra, Gilles Meyer, Francis R. Bach, Rodolphe Sepulchre
Low-Rank Optimization with Trace Norm Penalty. SIAM J. Optim. 23 (4) (2013)
Bamdev Mishra, Rodolphe Sepulchre
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion. CoRR (2013)
Bamdev Mishra, Gilles Meyer, Rodolphe Sepulchre
Low-rank optimization for distance matrix completion CoRR (2013)
Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre
Manopt, a Matlab toolbox for optimization on manifolds. CoRR (2013)
Bamdev Mishra, K. Adithya Apuroop, Rodolphe Sepulchre
A Riemannian geometry for low-rank matrix completion CoRR (2012)
Bamdev Mishra, Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre
Fixed-rank matrix factorizations and Riemannian low-rank optimization CoRR (2012)
Bamdev Mishra, Gilles Meyer, Rodolphe Sepulchre
Low-rank optimization for distance matrix completion. CDC/ECC (2011)
Bamdev Mishra, Gilles Meyer, Francis R. Bach, Rodolphe Sepulchre
Low-rank optimization with trace norm penalty CoRR (2011)