Bamdev Mishra

Principal Applied Scientist

Publications

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- UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
  
  Prateek Chanda, Prayas Agrawal, Karthik S. Gurumoorthy, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  April 2026
  
  Publication
- Riemannian Federated Learning via Averaging Gradient Stream
  
  Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
  
  ICLR 2026 | September 2024
  
  DOI Publication
- Submodular Framework for Structured-Sparse Optimal Transport
  
  Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, S. Jagarlapudi, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- 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
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Riemannian coordinate descent algorithms on matrix manifolds
  
  Andi Han, Pratik Jawanpuria, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- A Framework for Bilevel Optimization on Riemannian Manifolds
  
  Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
  
  NeurIPS 2024 | February 2024
  
  DOI Publication Publication
- ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
  
  Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
  
  ACML 2022 | December 2022
  
  Preprint
- On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
  
  Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria (prjawanp), Junbin Gao
  
  NeurIPS 2021 | December 2021
  
  Publication
- A Simple Approach to Learning Unsupervised Multilingual Embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  2020 Empirical Methods in Natural Language Processing | November 2020
  
  DOI Publication Preprint Publication Publication Publication Publication
- Geometry-aware domain adaptation for unsupervised alignment of word embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  ACL 2020 | July 2020
  
  Publication
- Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
  
  Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
  
  Transactions of the Association for Computational Linguistics | April 2019, Vol 7: pp. 107-120
  
  DOI Publication Publication

- UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
  
  Prateek Chanda, Prayas Agrawal, Karthik S. Gurumoorthy, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  April 2026
  
  Publication
- UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
  
  Prateek Chanda, Prayas Agrawal, Karthik S. Gurumoorthy, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  April 2026
  
  Publication
- Riemannian Federated Learning via Averaging Gradient Stream
  
  Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
  
  ICLR 2026 | September 2024
  
  DOI Publication
- Submodular Framework for Structured-Sparse Optimal Transport
  
  Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, S. Jagarlapudi, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- 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
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Riemannian coordinate descent algorithms on matrix manifolds
  
  Andi Han, Pratik Jawanpuria, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- A Framework for Bilevel Optimization on Riemannian Manifolds
  
  Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
  
  NeurIPS 2024 | February 2024
  
  DOI Publication Publication
- ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
  
  Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
  
  ACML 2022 | December 2022
  
  Preprint
- On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
  
  Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria (prjawanp), Junbin Gao
  
  NeurIPS 2021 | December 2021
  
  Publication
- A Simple Approach to Learning Unsupervised Multilingual Embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  2020 Empirical Methods in Natural Language Processing | November 2020
  
  DOI Publication Preprint Publication Publication Publication Publication
- Geometry-aware domain adaptation for unsupervised alignment of word embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  ACL 2020 | July 2020
  
  Publication
- Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
  
  Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
  
  Transactions of the Association for Computational Linguistics | April 2019, Vol 7: pp. 107-120
  
  DOI Publication Publication
- Geometry-aware domain adaptation for unsupervised alignment of word embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  ACL 2020 | July 2020
  
  Publication

- UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
  
  Prateek Chanda, Prayas Agrawal, Karthik S. Gurumoorthy, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Jawanpuria
  
  April 2026
  
  Publication
- Riemannian Federated Learning via Averaging Gradient Stream
  
  Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
  
  ICLR 2026 | September 2024
  
  DOI Publication
- Submodular Framework for Structured-Sparse Optimal Transport
  
  Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, S. Jagarlapudi, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- 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
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Riemannian coordinate descent algorithms on matrix manifolds
  
  Andi Han, Pratik Jawanpuria, Bamdev Mishra
  
  ICML 2024 | June 2024
  
  Publication
- A Framework for Bilevel Optimization on Riemannian Manifolds
  
  Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
  
  NeurIPS 2024 | February 2024
  
  DOI Publication Publication
- ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
  
  Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
  
  ACML 2022 | December 2022
  
  Preprint
- On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
  
  Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria (prjawanp), Junbin Gao
  
  NeurIPS 2021 | December 2021
  
  Publication
- A Simple Approach to Learning Unsupervised Multilingual Embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  2020 Empirical Methods in Natural Language Processing | November 2020
  
  DOI Publication Preprint Publication Publication Publication Publication
- Geometry-aware domain adaptation for unsupervised alignment of word embeddings
  
  Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
  
  ACL 2020 | July 2020
  
  Publication
- Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
  
  Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
  
  Transactions of the Association for Computational Linguistics | April 2019, Vol 7: pp. 107-120
  
  DOI Publication Publication

Bamdev Mishra

Publications

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees

Riemannian Federated Learning via Averaging Gradient Stream

Submodular Framework for Structured-Sparse Optimal Transport

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

Riemannian coordinate descent algorithms on matrix manifolds

A Framework for Bilevel Optimization on Riemannian Manifolds

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits

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

A Simple Approach to Learning Unsupervised Multilingual Embeddings

Geometry-aware domain adaptation for unsupervised alignment of word embeddings

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

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees

Riemannian Federated Learning via Averaging Gradient Stream

Submodular Framework for Structured-Sparse Optimal Transport

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

Riemannian coordinate descent algorithms on matrix manifolds

A Framework for Bilevel Optimization on Riemannian Manifolds

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits

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

A Simple Approach to Learning Unsupervised Multilingual Embeddings

Geometry-aware domain adaptation for unsupervised alignment of word embeddings

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

Geometry-aware domain adaptation for unsupervised alignment of word embeddings

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees

Riemannian Federated Learning via Averaging Gradient Stream

Submodular Framework for Structured-Sparse Optimal Transport

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

Riemannian coordinate descent algorithms on matrix manifolds

A Framework for Bilevel Optimization on Riemannian Manifolds

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits

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

A Simple Approach to Learning Unsupervised Multilingual Embeddings

Geometry-aware domain adaptation for unsupervised alignment of word embeddings

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