Bamdev Mishra

According to our database, Bamdev Mishra authored at least 73 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Riemannian block SPD coupling manifold and its application to optimal transport.

Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao

Mach. Learn., April, 2024

Revisiting stochastic submodular maximization with cardinality constraint: A bandit perspective.

Pratik Jawanpuria, Bamdev Mishra, Karthik S. Gurumoorthy

Trans. Mach. Learn. Res., 2024

Differentially private Riemannian optimization.

Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao

Mach. Learn., 2024

A Riemannian Approach to Ground Metric Learning for Optimal Transport.

Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao

CoRR, 2024

Riemannian Federated Learning via Averaging Gradient Stream.

Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra

CoRR, 2024

SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining.

Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra

CoRR, 2024

Federated Learning on Riemannian Manifolds with Differential Privacy.

Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra

CoRR, 2024

A Framework for Bilevel Optimization on Riemannian Manifolds.

Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda

CoRR, 2024

A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks.

Neel Mishra, Pawan Kumar, Pratik Jawanpuria, Bamdev Mishra

Proceedings of the International Joint Conference on Neural Networks, 2024

Submodular framework for structured-sparse optimal transport.

Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Riemannian coordinate descent algorithms on matrix manifolds.

Andi Han, Pratik Jawanpuria, Bamdev Mishra

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds.

Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao

SIAM J. Optim., September, 2023

Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction.

Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra

Trans. Mach. Learn. Res., 2023

Nonconvex-nonconcave min-max optimization on Riemannian manifolds.

Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao

Trans. Mach. Learn. Res., 2023

Light-weight Deep Extreme Multilabel Classification.

Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar

Proceedings of the International Joint Conference on Neural Networks, 2023

Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry.

Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao

Proceedings of the Geometric Science of Information - 6th International Conference, 2023

Riemannian Accelerated Gradient Methods via Extrapolation.

Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Rieoptax: Riemannian Optimization in JAX.

Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra

CoRR, 2022

Generalised Spherical Text Embedding.

Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava

Proceedings of the 19th International Conference on Natural Language Processing, 2022

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits.

Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Manifold optimization for optimal transport.

Bamdev Mishra, N. T. V. Satya Dev, Hiroyuki Kasai, Pratik Jawanpuria

CoRR, 2021

SPOT: A Framework for Selection of Prototypes Using Optimal Transport.

Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry.

Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria, Junbin Gao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Robust Optimal Transport with Application to Multi-Label Classification.

Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Efficient robust optimal transport: formulations and algorithms.

Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra

CoRR, 2020

Learning Geometric Word Meta-Embeddings.

Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

A Simple Approach to Learning Unsupervised Multilingual Embeddings.

Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Geometry-aware domain adaptation for unsupervised alignment of word embeddings.

Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach.

Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra

Trans. Assoc. Comput. Linguistics, 2019

Riemannian Stochastic Variance Reduced Gradient Algorithm with Retraction and Vector Transport.

Hiroyuki Sato, Hiroyuki Kasai, Bamdev Mishra

SIAM J. Optim., 2019

A Riemannian gossip approach to subspace learning on Grassmann manifold.

Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop

Mach. Learn., 2019

Riemannian optimization on the simplex of positive definite matrices.

Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria

CoRR, 2019

Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold.

Hiroyuki Kasai, Bamdev Mishra

CoRR, 2019

Adaptive stochastic gradient algorithms on Riemannian manifolds.

Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra

CoRR, 2019

Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition.

Anil R. Yelundur, Vineet Chaoji, Bamdev Mishra

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Riemannian adaptive stochastic gradient algorithms on matrix manifolds.

Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra

Proceedings of the 36th International Conference on Machine Learning, 2019

Low-rank approximations of hyperbolic embeddings.

Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

McTorch, a manifold optimization library for deep learning.

Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai, Bamdev Mishra

CoRR, 2018

Low-rank geometric mean metric learning.

Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai, Bamdev Mishra

CoRR, 2018

Bayesian Semi-Supervised Tensor Decomposition using Natural Gradients for Anomaly Detection.

Anil R. Yelundur, Srinivasan H. Sengamedu, Bamdev Mishra

CoRR, 2018

A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds.

Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Dual Framework for Low-rank Tensor Completion.

Madhav Nimishakavi, Pratik Kumar Jawanpuria, Bamdev Mishra

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Inexact trust-region algorithms on Riemannian manifolds.

Hiroyuki Kasai, Bamdev Mishra

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis.

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra

Proceedings of the 35th International Conference on Machine Learning, 2018

A Unified Framework for Structured Low-rank Matrix Learning.

Pratik Jawanpuria, Bamdev Mishra

Proceedings of the 35th International Conference on Machine Learning, 2018

Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifolds.

Hiroyuki Kasai, Bamdev Mishra

Proceedings of the 26th European Signal Processing Conference, 2018

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information.

Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis.

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Topological Interference Management With User Admission Control via Riemannian Optimization.

Yuanming Shi, Bamdev Mishra, Wei Chen

IEEE Trans. Wirel. Commun., 2017

A two-dimensional decomposition approach for matrix completion through gossip.

Mukul Bhutani, Bamdev Mishra

CoRR, 2017

Riemannian stochastic variance reduced gradient.

Hiroyuki Sato, Hiroyuki Kasai, Bamdev Mishra

CoRR, 2017

A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold.

Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop

CoRR, 2017

A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications.

Pratik Jawanpuria, Bamdev Mishra

CoRR, 2017

A Sparse and Low-Rank Optimization Framework for Network Topology Control in Dense Fog-RAN.

Yuanming Shi, Bamdev Mishra, Xuan Liu, Wei Chen

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

2016

Riemannian Preconditioning.

Bamdev Mishra, Rodolphe Sepulchre

SIAM J. Optim., 2016

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization.

Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Topological Interference Management with User Admission Control via Riemannian Optimization.

Yuanming Shi, Bamdev Mishra

CoRR, 2016

A Sparse and Low-Rank Optimization Framework for Index Coding via Riemannian Optimization.

Yuanming Shi, Bamdev Mishra

CoRR, 2016

A Riemannian gossip approach to decentralized matrix completion.

Bamdev Mishra, Hiroyuki Kasai, Atul Saroop

CoRR, 2016

Riemannian stochastic variance reduced gradient on Grassmann manifold.

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra

CoRR, 2016

Low-rank tensor completion: a Riemannian manifold preconditioning approach.

Hiroyuki Kasai, Bamdev Mishra

Proceedings of the 33nd International Conference on Machine Learning, 2016

Scaled stochastic gradient descent for low-rank matrix completion.

Bamdev Mishra, Rodolphe Sepulchre

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Riemannian preconditioning for tensor completion.

Hiroyuki Kasai, Bamdev Mishra

CoRR, 2015

Symmetry-invariant optimization in deep networks.

Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla

CoRR, 2015

Understanding symmetries in deep networks.

Vijay Badrinarayanan, Bamdev Mishra, Roberto Cipolla

CoRR, 2015

Sparse plus low-rank autoregressive identification in neuroimaging time series.

Raphaël Liégeois, Bamdev Mishra, Mattia Zorzi, Rodolphe Sepulchre

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Manopt, a matlab toolbox for optimization on manifolds.

Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre

J. Mach. Learn. Res., 2014

Fixed-rank matrix factorizations and Riemannian low-rank optimization.

Bamdev Mishra, Gilles Meyer, Silvère Bonnabel, Rodolphe Sepulchre

Comput. Stat., 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

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

CoRR, 2014

R3MC: A Riemannian three-factor algorithm for low-rank matrix completion.

Bamdev Mishra, Rodolphe Sepulchre

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Low-Rank Optimization with Trace Norm Penalty.

Bamdev Mishra, Gilles Meyer, Francis R. Bach, Rodolphe Sepulchre

SIAM J. Optim., 2013

2012

A Riemannian geometry for low-rank matrix completion

Bamdev Mishra, K. Adithya Apuroop, Rodolphe Sepulchre

CoRR, 2012

2011

Low-rank optimization for distance matrix completion.

Bamdev Mishra, Gilles Meyer, Rodolphe Sepulchre

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011