Pratik Jawanpuria

According to our database, Pratik Jawanpuria authored at least 52 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

MMD-Regularized Unbalanced Optimal Transport.

Piyushi Manupriya, Saketha Nath Jagarlapudi, Pratik Jawanpuria

Trans. Mach. Learn. Res., 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

TBM-GAN: Synthetic Document Generation with Degraded Background.

Arnab Poddar, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 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

Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract).

Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Rieoptax: Riemannian Optimization in JAX.

Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra

CoRR, 2022

Confidence Score for Unsupervised Foreground Background Separation of Document Images.

Soumyadeep Dey, Pratik Jawanpuria

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

Light-Weight Document Image Cleanup Using Perceptual Loss.

Soumyadeep Dey, Pratik Jawanpuria

Proceedings of the 16th International Conference on Document Analysis and Recognition, 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

Statistical Optimal Transport posed as Learning Kernel Embedding.

Jagarlapudi Saketha Nath, Pratik Kumar Jawanpuria

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

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

Adaptive stochastic gradient algorithms on Riemannian manifolds.

Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra

CoRR, 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

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

A Unified Framework for Structured Low-rank Matrix Learning.

Pratik Jawanpuria, Bamdev Mishra

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

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

2015

Generalized hierarchical kernel learning.

Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan

J. Mach. Learn. Res., 2015

Efficient Output Kernel Learning for Multiple Tasks.

Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection.

Pratik Jawanpuria, Manik Varma, J. Saketha Nath

Proceedings of the 31th International Conference on Machine Learning, 2014

2012

A Convex Feature Learning Formulation for Latent Task Structure Discovery.

Pratik Jawanpuria, J. Saketha Nath

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Multi-task Multiple Kernel Learning.

Pratik Jawanpuria, Jagarlapudi Saketha Nath

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Efficient Rule Ensemble Learning using Hierarchical Kernels.

Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan

Proceedings of the 28th International Conference on Machine Learning, 2011