Pratik Jawanpuria

74 papers A* 9A 2B 2C 1Misc 1Journal 49Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Federated Learning on Riemannian Manifolds with Differential Privacy. Mach. Learn. Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
2025	Misc	`conf`	A Riemannian Approach to Ground Metric Learning for Optimal Transport. ICASSP Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao
2025	J	`jnl`	Generalized infinite dimensional Alpha-Procrustes based geometries. CoRR Salvish Goomanee, Andi Han, Pratik Jawanpuria, Bamdev Mishra
2024	J	`jnl`	A Framework for Bilevel Optimization on Riemannian Manifolds. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
2024	B	`conf`	A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. IJCNN Neel Mishra, Pawan Kumar, Pratik Jawanpuria, Bamdev Mishra
2024	J	`jnl`	A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. CoRR Neel Mishra, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar
2024	J	`jnl`	A Riemannian Approach to Ground Metric Learning for Optimal Transport. CoRR Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao
2024	J	`jnl`	AutoDocSegmenter: A Geometric Approach towards Self-Supervised Document Segmentation. Trans. Mach. Learn. Res. Ankita Chatterjee, Anjali Raj, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Partha Pratim Das
2024	J	`jnl`	Differentially private Riemannian optimization. Mach. Learn. Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2024	J	`jnl`	Federated Learning on Riemannian Manifolds with Differential Privacy. CoRR Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
2024	J	`jnl`	MMD-Regularized Unbalanced Optimal Transport. Trans. Mach. Learn. Res. Piyushi Manupriya, Saketha Nath Jagarlapudi, Pratik Jawanpuria
2024	J	`jnl`	Revisiting stochastic submodular maximization with cardinality constraint: A bandit perspective. Trans. Mach. Learn. Res. Pratik Jawanpuria, Bamdev Mishra, Karthik S. Gurumoorthy
2024	J	`jnl`	Riemannian Federated Learning via Averaging Gradient Stream. CoRR Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
2024	J	`jnl`	Riemannian block SPD coupling manifold and its application to optimal transport. Mach. Learn. Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2024	A*	`conf`	Riemannian coordinate descent algorithms on matrix manifolds. ICML Andi Han, Pratik Jawanpuria, Bamdev Mishra
2024	J	`jnl`	Riemannian coordinate descent algorithms on matrix manifolds. CoRR Andi Han, Pratik Jawanpuria, Bamdev Mishra
2024	J	`jnl`	SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining. CoRR Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
2024	J	`jnl`	Submodular Framework for Structured-Sparse Optimal Transport. CoRR Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra
2024	A*	`conf`	Submodular framework for structured-sparse optimal transport. ICML Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra
2023	A*	`conf`	Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract). AAAI Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas
2023	J	`jnl`	Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction. Trans. Mach. Learn. Res. Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra
2023	—	`conf`	Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. GSI (1) Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2023	B	`conf`	Light-weight Deep Extreme Multilabel Classification. IJCNN Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar
2023	J	`jnl`	Light-weight Deep Extreme Multilabel Classification. CoRR Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar
2023	J	`jnl`	Nonconvex-nonconcave min-max optimization on Riemannian manifolds. Trans. Mach. Learn. Res. Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2023	A	`conf`	Riemannian Accelerated Gradient Methods via Extrapolation. AISTATS Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2023	J	`jnl`	Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
2023	—	`conf`	TBM-GAN: Synthetic Document Generation with Degraded Background. ICDAR (2) Arnab Poddar, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas
2022	J	`jnl`	Confidence Score for Unsupervised Foreground Background Separation of Document Images. CoRR Soumyadeep Dey, Pratik Jawanpuria
2022	J	`jnl`	Differentially private Riemannian optimization. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2022	—	`conf`	Generalised Spherical Text Embedding. ICON Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava
2022	J	`jnl`	Generalised Spherical Text Embedding. CoRR Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava
2022	C	`conf`	ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. ACML Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
2022	J	`jnl`	ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. CoRR Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
2022	J	`jnl`	Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
2022	J	`jnl`	Riemannian accelerated gradient methods via extrapolation. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2022	J	`jnl`	Rieoptax: Riemannian Optimization in JAX. CoRR Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra
2021	—	`conf`	Efficient Robust Optimal Transport with Application to Multi-Label Classification. CDC Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra
2021	—	`conf`	Light-Weight Document Image Cleanup Using Perceptual Loss. ICDAR (3) Soumyadeep Dey, Pratik Jawanpuria
2021	J	`jnl`	Light-weight Document Image Cleanup using Perceptual Loss. CoRR Soumyadeep Dey, Pratik Jawanpuria
2021	J	`jnl`	Manifold optimization for optimal transport. CoRR Bamdev Mishra, N. T. V. Satya Dev, Hiroyuki Kasai, Pratik Jawanpuria
2021	J	`jnl`	On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2021	—	`conf`	SPOT: A Framework for Selection of Prototypes Using Optimal Transport. ECML/PKDD (4) Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
2021	J	`jnl`	SPOT: A framework for selection of prototypes using optimal transport. CoRR Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
2020	—	`conf`	A Simple Approach to Learning Unsupervised Multilingual Embeddings. EMNLP (1) Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
2020	J	`jnl`	A Simple Approach to Learning Unsupervised Multilingual Embeddings. CoRR Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
2020	J	`jnl`	Efficient robust optimal transport: formulations and algorithms. CoRR Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra
2020	J	`jnl`	Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings. CoRR Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
2020	A*	`conf`	Geometry-aware domain adaptation for unsupervised alignment of word embeddings. ACL Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
2020	—	`conf`	Learning Geometric Word Meta-Embeddings. RepL4NLP@ACL Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra
2020	J	`jnl`	Learning Geometric Word Meta-Embeddings. CoRR Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra
2020	J	`jnl`	Statistical Optimal Transport posed as Learning Kernel Embedding. CoRR J. Saketha Nath, Pratik Jawanpuria
2019	J	`jnl`	A Riemannian gossip approach to subspace learning on Grassmann manifold. Mach. Learn. Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop
2019	J	`jnl`	Adaptive stochastic gradient algorithms on Riemannian manifolds. CoRR Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra
2019	J	`jnl`	Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. Trans. Assoc. Comput. Linguistics Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
2019	—	`conf`	Low-rank approximations of hyperbolic embeddings. CDC Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
2019	J	`jnl`	Low-rank approximations of hyperbolic embeddings. CoRR Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
2019	A*	`conf`	Riemannian adaptive stochastic gradient algorithms on matrix manifolds. ICML Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra
2019	J	`jnl`	Riemannian optimization on the simplex of positive definite matrices. CoRR Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria
2018	A*	`conf`	A Unified Framework for Structured Low-rank Matrix Learning. ICML Pratik Jawanpuria, Bamdev Mishra
2018	J	`jnl`	Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. CoRR Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
2018	J	`jnl`	Low-rank geometric mean metric learning. CoRR Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai, Bamdev Mishra
2018	J	`jnl`	McTorch, a manifold optimization library for deep learning. CoRR Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai, Bamdev Mishra
2017	J	`jnl`	A Dual Framework for Low-rank Tensor Completion. CoRR Madhav Nimishakavi, Pratik Jawanpuria, Bamdev Mishra
2017	J	`jnl`	A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold. CoRR Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop
2017	J	`jnl`	A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications. CoRR Pratik Jawanpuria, Bamdev Mishra
2015	—	`conf`	Efficient Output Kernel Learning for Multiple Tasks. NIPS Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele
2015	J	`jnl`	Efficient Output Kernel Learning for Multiple Tasks. CoRR Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele
2015	J	`jnl`	Generalized hierarchical kernel learning. J. Mach. Learn. Res. Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan
2014	A*	`conf`	On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. ICML Pratik Jawanpuria, Manik Varma, J. Saketha Nath
2012	J	`jnl`	A Convex Feature Learning Formulation for Latent Task Structure Discovery CoRR Pratik Jawanpuria, J. Saketha Nath
2012	A*	`conf`	A Convex Feature Learning Formulation for Latent Task Structure Discovery. ICML Pratik Jawanpuria, J. Saketha Nath
2011	A*	`conf`	Efficient Rule Ensemble Learning using Hierarchical Kernels. ICML Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan
2011	A	`conf`	Multi-task Multiple Kernel Learning. SDM Pratik Jawanpuria, Jagarlapudi Saketha Nath